{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"vscode-ms-vscode-vscode-node-azure-pack","slug":"azure-tools","name":"Azure Tools","type":"extension","url":"https://marketplace.visualstudio.com/items?itemName=ms-vscode.vscode-node-azure-pack","page_url":"https://unfragile.ai/azure-tools","categories":["code-editors","deployment-infra"],"tags":["__web_extension","azure","cloud","hosting"],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"vscode-ms-vscode-vscode-node-azure-pack__cap_0","uri":"capability://tool.use.integration.azure.resource.discovery.and.management.from.vs.code.sidebar","name":"azure resource discovery and management from vs code sidebar","description":"Integrates Azure Resource Manager into VS Code's Explorer sidebar, enabling developers to browse, filter, and manage Azure resources (VMs, App Services, databases, storage accounts) without leaving the editor. Uses VS Code's TreeView API to render hierarchical Azure resource groups and subscriptions, with direct API calls to Azure Resource Manager endpoints for real-time resource state synchronization. Supports multi-subscription views and resource-level operations (start/stop VMs, scale app services, delete resources) via context menu actions.","intents":["I want to see all my Azure resources organized by subscription and resource group without switching to the Azure Portal","I need to quickly restart an App Service or VM while coding without context-switching","I want to filter and search Azure resources by name or type within my editor workspace"],"best_for":["Azure developers managing multiple subscriptions and resource groups","DevOps engineers monitoring infrastructure state during development","Teams reducing context-switching between VS Code and Azure Portal"],"limitations":["Real-time resource state updates depend on Azure API polling frequency — changes made in Portal may have 30-60 second sync delay","Cannot perform advanced resource configuration (networking, RBAC, policies) — limited to basic lifecycle operations","Requires Azure Account extension for authentication; no support for local Azure emulation (Azurite) for resource discovery"],"requires":["VS Code 1.50+","Azure Account extension installed and authenticated","Active Azure subscription with appropriate RBAC permissions","Network connectivity to Azure Resource Manager endpoints"],"input_types":["Azure subscription credentials (via Azure Account extension)","Resource group and resource type filters (user-specified)"],"output_types":["Hierarchical resource tree (JSON-serialized Azure resources)","Resource metadata (name, type, location, status)","Operation results (success/failure status for lifecycle actions)"],"categories":["tool-use-integration","cloud-management"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-ms-vscode-vscode-node-azure-pack__cap_1","uri":"capability://code.generation.editing.serverless.function.development.with.local.debugging.and.azure.functions.runtime","name":"serverless function development with local debugging and azure functions runtime","description":"Enables developers to create, debug, and deploy Azure Functions (HTTP-triggered, timer-based, event-driven) with integrated local runtime emulation. Uses the Azure Functions Core Tools (Node.js-based runtime) to run function code locally with full debugging support (breakpoints, variable inspection, call stacks) via VS Code's Debug Adapter Protocol. Supports multiple language runtimes (JavaScript, Python, C#, Java) and automatically scaffolds function project structure, local.settings.json configuration, and function.json bindings. Integrates with Azure App Service for one-click deployment to Azure.","intents":["I want to write and test Azure Functions locally before deploying to production","I need to debug a function with breakpoints and inspect variable state during execution","I want to quickly scaffold a new HTTP-triggered or timer-based function with boilerplate code"],"best_for":["Serverless developers building event-driven Azure Functions","Teams migrating from local function development to Azure cloud deployment","Full-stack developers adding backend functions to static web apps"],"limitations":["Local runtime emulation does not fully replicate Azure Functions runtime environment — some bindings (e.g., Durable Functions orchestration) have limited local support","Debugging requires Azure Functions Core Tools installation; no built-in runtime — adds ~500MB disk footprint","Local storage emulation (Azurite) must be separately configured for Blob/Queue/Table bindings; not auto-provisioned","Cold start performance in local runtime differs from Azure production; no load-testing simulation built-in"],"requires":["VS Code 1.50+","Azure Functions Core Tools (v4.x or later)","Node.js 14+ (for Core Tools runtime)","Language-specific runtime (Python 3.9+, .NET 6+, Java 11+, or Node.js 14+)","Azure Storage Emulator or Azurite for local binding emulation (optional but recommended)"],"input_types":["Function template selection (HTTP trigger, Timer, Blob, Queue, etc.)","Function name and language runtime","Binding configuration (trigger type, input/output bindings)","Local settings (connection strings, app settings)"],"output_types":["Scaffolded function project (folder structure with function.json, index.js/py/cs)","Debug output (console logs, breakpoint hits, variable inspection)","Deployment package (ZIP file for Azure Functions App Service)"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-ms-vscode-vscode-node-azure-pack__cap_10","uri":"capability://code.generation.editing.bicep.and.arm.template.authoring.with.validation.and.preview","name":"bicep and arm template authoring with validation and preview","description":"Provides integrated Bicep and ARM template editor with syntax highlighting, IntelliSense, and real-time validation for Azure infrastructure-as-code. Supports Bicep language (Microsoft's domain-specific language for ARM templates) with parameter validation, variable resolution, and resource schema IntelliSense. Includes template preview functionality that shows the compiled ARM template output and estimated resource costs. Integrates with Azure Resource Manager for template deployment with parameter file management and deployment history tracking.","intents":["I want to author Bicep templates with IntelliSense and validation without switching to a separate editor","I need to preview the compiled ARM template output before deploying to Azure","I want to deploy a Bicep template and manage deployment parameters from VS Code"],"best_for":["Infrastructure engineers authoring Bicep/ARM templates for Azure deployments","DevOps teams managing infrastructure-as-code with version control","Developers learning Bicep syntax with inline validation and error feedback"],"limitations":["Bicep compilation requires Bicep CLI installation — no built-in transpiler; adds external dependency","Cost estimation is approximate — actual costs depend on usage patterns and regional pricing","No built-in template testing or validation against Azure policies — requires separate policy evaluation tools","Parameter file management is manual — no UI for parameter validation or generation from template schema"],"requires":["VS Code 1.50+","Bicep CLI installed (for template compilation)","Azure Account extension authenticated for deployment","Bicep extension installed (Microsoft.Bicep)"],"input_types":["Bicep template files (.bicep)","Parameter files (.bicepparam or .json)","Resource schema definitions (auto-loaded from Azure)"],"output_types":["Compiled ARM template (JSON)","Validation errors and warnings","Cost estimation (USD)","Deployment status and resource IDs"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-ms-vscode-vscode-node-azure-pack__cap_2","uri":"capability://automation.workflow.container.image.building.and.deployment.to.azure.container.apps","name":"container image building and deployment to azure container apps","description":"Provides integrated Docker container building and deployment workflows for Azure Container Apps, a serverless container platform. Detects Dockerfiles in the workspace, builds container images using Docker daemon (local or remote), pushes images to Azure Container Registry, and deploys them to Container Apps with environment variable and secret management. Integrates with VS Code's command palette and provides deployment status tracking via output channels. Supports multi-container deployments and automatic HTTPS provisioning via Azure's managed ingress.","intents":["I want to containerize my application and deploy it to Azure without writing deployment scripts","I need to build a Docker image, push it to a registry, and deploy it to a managed container platform in one workflow","I want to manage container environment variables and secrets securely during deployment"],"best_for":["Developers containerizing monolithic or microservice applications for Azure","Teams adopting container-based deployment without Kubernetes complexity","DevOps engineers automating container build-and-deploy pipelines from the editor"],"limitations":["Requires Docker daemon running locally or remote Docker host configured — no built-in container runtime","Container Apps has cold start latency (5-30 seconds) for scaled-down instances — not suitable for sub-second response requirements","No built-in container image scanning or vulnerability assessment — requires separate Azure Defender or third-party tools","Deployment status polling is manual via output channel; no real-time deployment progress UI in sidebar"],"requires":["VS Code 1.50+","Docker Desktop or Docker daemon installed and running","Azure Container Registry instance (or Docker Hub account)","Azure Container Apps resource created in target subscription","Azure Account extension authenticated with appropriate permissions"],"input_types":["Dockerfile path (auto-detected or user-specified)","Container image name and tag","Azure Container Registry credentials","Container Apps resource name and environment","Environment variables and secrets (key-value pairs)"],"output_types":["Built Docker image (local or pushed to registry)","Deployment manifest (Container Apps configuration)","Deployment status and logs (via output channel)","Container app URL (HTTPS endpoint)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-ms-vscode-vscode-node-azure-pack__cap_3","uri":"capability://automation.workflow.static.web.apps.deployment.with.github.actions.integration","name":"static web apps deployment with github actions integration","description":"Streamlines deployment of static sites (HTML, CSS, JavaScript, React, Vue, Angular) to Azure Static Web Apps with automatic GitHub Actions workflow generation. Detects static site frameworks (Next.js, Gatsby, Hugo, Jekyll) and generates optimized build configurations, then creates a GitHub Actions workflow file that builds and deploys on every push to a specified branch. Integrates with Azure Static Web Apps for custom domain management, staging environments, and pull request preview deployments. Supports API backend integration via Azure Functions.","intents":["I want to deploy my static site to Azure with automatic CI/CD on every git push without writing GitHub Actions YAML","I need to set up preview deployments for pull requests to test changes before merging","I want to add a serverless API backend to my static site using Azure Functions"],"best_for":["Frontend developers deploying static sites and SPAs to Azure","Teams using GitHub for version control and wanting integrated CI/CD","Developers building JAMstack applications with static frontends and serverless backends"],"limitations":["Requires GitHub repository — no support for other Git providers (GitLab, Bitbucket) or local Git workflows","GitHub Actions workflow generation is opinionated — customization requires manual YAML editing","Static Web Apps has limited API backend support — only Azure Functions integration; no support for custom Node.js/Python servers","Build output must be a static folder (HTML/CSS/JS) — dynamic server-side rendering not supported"],"requires":["VS Code 1.50+","GitHub repository with push access","Azure Static Web Apps resource created in target subscription","Azure Account extension authenticated","Static site framework (or plain HTML/CSS/JS)"],"input_types":["GitHub repository URL and branch","Static site framework type (auto-detected or user-selected)","Build command and output directory","Custom domain (optional)","API backend configuration (optional)"],"output_types":["GitHub Actions workflow file (.github/workflows/*.yml)","Deployment configuration (staticwebapp.config.json)","Static Web Apps resource URL (HTTPS endpoint)","Pull request preview deployment URLs"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-ms-vscode-vscode-node-azure-pack__cap_4","uri":"capability://data.processing.analysis.cosmos.db.data.exploration.and.query.execution","name":"cosmos db data exploration and query execution","description":"Provides an integrated Cosmos DB client within VS Code for browsing databases, collections, and documents, and executing queries (SQL, MongoDB) directly from the editor. Uses the Cosmos DB SDK to connect to Cosmos DB accounts, renders document hierarchies in the Explorer sidebar, and supports inline query execution with result visualization (JSON, table view). Supports both SQL API and MongoDB API with syntax highlighting and IntelliSense for query authoring. Includes document CRUD operations (create, read, update, delete) via context menu actions.","intents":["I want to browse my Cosmos DB collections and view documents without switching to the Azure Portal","I need to execute a SQL or MongoDB query and see results formatted in VS Code","I want to quickly create, edit, or delete a document in Cosmos DB during development"],"best_for":["Backend developers building applications with Cosmos DB as primary datastore","Data engineers exploring Cosmos DB collections and validating query performance","Teams reducing context-switching between VS Code and Azure Portal for database operations"],"limitations":["Query execution is limited to single-partition queries — cross-partition queries may timeout or require manual pagination","No built-in query performance analysis (RU consumption, execution plan) — requires separate Azure Portal monitoring","Document editing is limited to JSON view — no schema validation or form-based editing","Large result sets (>10,000 documents) may cause UI lag; no built-in pagination or streaming results"],"requires":["VS Code 1.50+","Cosmos DB account created in Azure subscription","Azure Account extension authenticated with Cosmos DB read/write permissions","Network connectivity to Cosmos DB endpoint (may require firewall rules)"],"input_types":["Cosmos DB account connection string or account key","Database and collection names","SQL or MongoDB query text","Document JSON (for create/update operations)"],"output_types":["Document hierarchy (tree view in Explorer)","Query results (JSON or table format)","Document metadata (ID, partition key, timestamp)","Operation status (success/failure for CRUD operations)"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-ms-vscode-vscode-node-azure-pack__cap_5","uri":"capability://data.processing.analysis.azure.storage.blob.queue.table.browsing.and.data.manipulation","name":"azure storage (blob, queue, table) browsing and data manipulation","description":"Integrates Azure Storage client into VS Code for browsing blob containers, queues, and tables, and performing data operations (upload, download, delete, peek messages) directly from the editor. Uses Azure Storage SDK to connect to storage accounts, renders container/queue/table hierarchies in Explorer sidebar, and supports drag-and-drop file uploads to blob containers. Includes message peeking for queues and table entity viewing with inline editing. Supports both connection string and managed identity authentication.","intents":["I want to upload or download files to Azure Blob Storage without using Azure Storage Explorer","I need to peek at messages in an Azure Queue to debug message processing logic","I want to view and edit table entities in Azure Table Storage during development"],"best_for":["Backend developers managing blob uploads/downloads and queue messages","DevOps engineers troubleshooting storage-related issues without leaving VS Code","Teams reducing dependency on Azure Storage Explorer for basic storage operations"],"limitations":["Blob upload/download is limited to files <100MB — larger files require Azure Storage Explorer or Azure CLI","No built-in blob versioning or snapshot management — requires Portal for advanced blob lifecycle policies","Queue message operations are limited to peek and delete — no message replay or batch operations","Table entity editing is limited to simple JSON view — no schema validation or batch updates"],"requires":["VS Code 1.50+","Azure Storage account created in subscription","Azure Account extension authenticated, or storage account connection string","Network connectivity to storage account endpoint"],"input_types":["Storage account connection string or account key","Container/queue/table names","Files for upload (drag-and-drop or file picker)","Entity JSON (for table updates)"],"output_types":["Container/queue/table hierarchy (tree view)","Blob metadata (size, modified date, content type)","Queue messages (peek results)","Table entities (JSON or table format)"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-ms-vscode-vscode-node-azure-pack__cap_6","uri":"capability://code.generation.editing.github.copilot.assisted.azure.infrastructure.suggestions.and.code.generation","name":"github copilot-assisted azure infrastructure suggestions and code generation","description":"Integrates GitHub Copilot AI model (via GitHub Copilot extension) to provide context-aware suggestions for Azure infrastructure code, deployment configurations, and function implementations. When editing Azure-related files (function.json, Dockerfile, ARM templates, Bicep), Copilot analyzes the file context and suggests completions for bindings, environment variables, and deployment configurations. Supports inline code generation for Azure SDK calls (e.g., creating Cosmos DB clients, uploading blobs) based on natural language comments. Requires GitHub Copilot subscription and GitHub Copilot extension installed.","intents":["I want Copilot to suggest Azure Function bindings and boilerplate code as I write function.json","I need help writing Azure SDK code to interact with Blob Storage or Cosmos DB","I want Copilot to suggest Dockerfile configurations optimized for Azure Container Apps"],"best_for":["Developers using GitHub Copilot who want Azure-specific code suggestions","Teams accelerating Azure infrastructure code authoring with AI assistance","Developers learning Azure APIs and wanting inline code examples"],"limitations":["Copilot suggestions are probabilistic — may suggest outdated Azure SDK versions or deprecated APIs; requires manual verification","Context window is limited to visible editor content — cannot analyze entire project structure for holistic suggestions","No Azure-specific fine-tuning — suggestions are generic LLM outputs, not optimized for Azure best practices","Requires GitHub Copilot subscription ($10/month or $100/year) — not included in free Azure Tools extension"],"requires":["VS Code 1.50+","GitHub Copilot extension installed","GitHub Copilot subscription (paid)","GitHub account authenticated in VS Code"],"input_types":["Azure configuration files (function.json, Dockerfile, Bicep, ARM templates)","Natural language comments describing desired functionality","Partial code snippets for completion"],"output_types":["Inline code completions (Azure SDK calls, binding configurations)","Multi-line code suggestions (function implementations, deployment scripts)","Explanation comments (generated by Copilot)"],"categories":["code-generation-editing","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-ms-vscode-vscode-node-azure-pack__cap_7","uri":"capability://tool.use.integration.azure.mcp.server.integration.for.structured.context.passing.to.ai.models","name":"azure mcp server integration for structured context passing to ai models","description":"Bundles the Azure MCP (Model Context Protocol) Server extension, which exposes Azure resources and operations as structured tools accessible to AI models (Copilot, Claude, etc.) via the MCP protocol. Enables AI models to discover and invoke Azure operations (list resources, deploy functions, query databases) with structured input/output schemas, without requiring direct API calls from the model. MCP Server acts as a bridge between AI models and Azure SDK, providing type-safe function calling with validation. Supports both local MCP servers (for local AI models) and cloud-based AI services.","intents":["I want an AI model to help me deploy an Azure Function by calling Azure APIs through structured MCP tools","I need an AI agent to discover available Azure resources and suggest deployment targets based on my application requirements","I want to enable Claude or another LLM to execute Azure operations on my behalf with validated input schemas"],"best_for":["Developers building AI agents that manage Azure infrastructure","Teams using Claude or other LLMs that support MCP protocol","Organizations wanting structured, type-safe AI-to-cloud integration without direct API access"],"limitations":["MCP Server requires explicit tool registration — not all Azure operations are exposed by default; custom tools require development","AI model must support MCP protocol — GitHub Copilot does not natively support MCP; requires Claude or other MCP-compatible models","MCP Server runs as separate process — adds latency (100-500ms per tool invocation) compared to direct SDK calls","No built-in rate limiting or quota management — AI models can exhaust Azure API quotas if not carefully constrained"],"requires":["VS Code 1.50+","Azure MCP Server extension installed","MCP-compatible AI model (Claude, local Ollama with MCP support, etc.)","Azure SDK and credentials configured","Node.js 14+ (for MCP Server runtime)"],"input_types":["MCP tool schemas (JSON Schema definitions for Azure operations)","AI model prompts requesting Azure operations","Azure resource identifiers and configuration parameters"],"output_types":["Structured tool call results (JSON-serialized Azure operation responses)","Resource metadata and operation status","Error messages with structured error codes"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-ms-vscode-vscode-node-azure-pack__cap_8","uri":"capability://automation.workflow.virtual.machine.lifecycle.management.start.stop.restart.delete.from.vs.code","name":"virtual machine lifecycle management (start, stop, restart, delete) from vs code","description":"Enables developers to manage Azure Virtual Machine lifecycle operations directly from VS Code's Explorer sidebar without switching to the Portal. Detects VMs in the Azure subscription, displays them in a hierarchical view grouped by resource group, and provides context menu actions for common operations (start, stop, restart, deallocate, delete). Uses Azure Compute SDK to invoke VM operations asynchronously, with status tracking via output channel. Supports bulk operations (start/stop multiple VMs) and VM metadata viewing (size, OS, public IP).","intents":["I want to stop a development VM to save costs without leaving VS Code","I need to restart a VM that's running a test environment during debugging","I want to view VM metadata (IP address, size, OS) without switching to the Portal"],"best_for":["Developers managing development/test VMs for Azure applications","DevOps engineers monitoring and controlling VM state during deployments","Teams reducing context-switching for VM lifecycle operations"],"limitations":["Only supports basic lifecycle operations (start/stop/restart) — no support for scaling, networking, or OS-level configuration","VM operations are asynchronous with polling-based status tracking — no real-time operation progress UI","Bulk operations lack granular error handling — if one VM fails, operation continues without rollback","No support for VM extensions or custom script execution — requires Portal or Azure CLI for advanced operations"],"requires":["VS Code 1.50+","Azure Account extension authenticated with Compute permissions","Azure VMs created in target subscription","Network connectivity to Azure Compute API endpoints"],"input_types":["VM resource identifiers (auto-discovered from subscription)","Operation type (start, stop, restart, deallocate, delete)","Confirmation for destructive operations (delete)"],"output_types":["VM list with status (running, stopped, deallocated)","Operation status (in progress, succeeded, failed)","VM metadata (size, OS, public IP, resource group)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-ms-vscode-vscode-node-azure-pack__cap_9","uri":"capability://automation.workflow.app.service.deployment.and.configuration.management","name":"app service deployment and configuration management","description":"Provides integrated App Service management within VS Code, enabling developers to deploy web applications (Node.js, Python, .NET, Java) to Azure App Service and manage configurations (app settings, connection strings, environment variables) without Portal access. Supports deployment via ZIP upload, Git integration, or Docker containers. Includes app settings editor with syntax highlighting, deployment slot management (staging/production), and traffic routing configuration. Integrates with VS Code's Debug Adapter for remote debugging of deployed applications.","intents":["I want to deploy my Node.js/Python/Java web application to Azure App Service directly from VS Code","I need to manage app settings and environment variables for my deployed application","I want to debug a deployed application by attaching a debugger from VS Code"],"best_for":["Full-stack developers deploying web applications to Azure App Service","Teams automating deployment workflows from the editor","Developers managing multiple deployment slots (staging/production) for testing"],"limitations":["Deployment is limited to single-instance App Service — no built-in support for App Service Plan scaling or multi-instance deployments","Remote debugging requires App Service to be in Debug mode, which impacts performance — not suitable for production debugging","App settings changes require application restart — no zero-downtime configuration updates","No built-in monitoring or log streaming — requires separate Azure Monitor or Application Insights integration"],"requires":["VS Code 1.50+","Azure App Service resource created in subscription","Azure Account extension authenticated with App Service permissions","Application code compatible with supported runtimes (Node.js, Python, .NET, Java)"],"input_types":["Application code (local folder or Git repository)","Deployment method (ZIP, Git, Docker)","App settings (key-value pairs)","Deployment slot selection (staging or production)"],"output_types":["Deployment status and logs","App Service URL (HTTPS endpoint)","App settings configuration (JSON)","Deployment slot URLs"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":50,"verified":false,"data_access_risk":"high","permissions":["VS Code 1.50+","Azure Account extension installed and authenticated","Active Azure subscription with appropriate RBAC permissions","Network connectivity to Azure Resource Manager endpoints","Azure Functions Core Tools (v4.x or later)","Node.js 14+ (for Core Tools runtime)","Language-specific runtime (Python 3.9+, .NET 6+, Java 11+, or Node.js 14+)","Azure Storage Emulator or Azurite for local binding emulation (optional but recommended)","Bicep CLI installed (for template compilation)","Azure Account extension authenticated for deployment"],"failure_modes":["Real-time resource state updates depend on Azure API polling frequency — changes made in Portal may have 30-60 second sync delay","Cannot perform advanced resource configuration (networking, RBAC, policies) — limited to basic lifecycle operations","Requires Azure Account extension for authentication; no support for local Azure emulation (Azurite) for resource discovery","Local runtime emulation does not fully replicate Azure Functions runtime environment — some bindings (e.g., Durable Functions orchestration) have limited local support","Debugging requires Azure Functions Core Tools installation; no built-in runtime — adds ~500MB disk footprint","Local storage emulation (Azurite) must be separately configured for Blob/Queue/Table bindings; not auto-provisioned","Cold start performance in local runtime differs from Azure production; no load-testing simulation built-in","Bicep compilation requires Bicep CLI installation — no built-in transpiler; adds external dependency","Cost estimation is approximate — actual costs depend on usage patterns and regional pricing","No built-in template testing or validation against Azure policies — requires separate policy evaluation tools","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.87,"quality":0.32,"ecosystem":0.37,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:34.803Z","last_scraped_at":"2026-05-03T15:20:32.168Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=azure-tools","compare_url":"https://unfragile.ai/compare?artifact=azure-tools"}},"signature":"ahBWe/OmQ+izz8RZ6sa49JgD5/28ApmXewidUQc5A0RA6qjigwh3Uhf3OoiZk8TGfK0gABFplaZjiTKj8m2sBA==","signedAt":"2026-06-22T17:44:05.778Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/azure-tools","artifact":"https://unfragile.ai/azure-tools","verify":"https://unfragile.ai/api/v1/verify?slug=azure-tools","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}