@toolspec/core
MCP ServerFreeMCP tool schema linting and quality scoring engine
Capabilities6 decomposed
mcp tool schema validation and linting
Medium confidenceValidates MCP (Model Context Protocol) tool schema definitions against specification compliance rules, parsing JSON/YAML tool definitions and checking for structural correctness, required fields, type safety, and protocol adherence. Uses a rule-based linting engine that applies configurable validators to catch schema violations before tools are deployed to MCP servers.
Purpose-built linting engine specifically for MCP tool schemas rather than generic JSON schema validators, with rules tailored to Model Context Protocol requirements and tool integration patterns
More targeted than generic JSON schema validators (like ajv) because it understands MCP-specific constraints and tool metadata requirements without requiring custom rule configuration
tool schema quality scoring and metrics
Medium confidenceAnalyzes MCP tool schemas and assigns quality scores based on completeness, documentation, type safety, and best-practice adherence. Implements a multi-dimensional scoring system that evaluates schema metadata (descriptions, examples, parameter types) and generates actionable quality metrics to guide schema improvements.
Implements a multi-dimensional quality scoring system specifically designed for MCP tool schemas, evaluating documentation completeness, parameter type safety, and protocol compliance in a single composite score
Goes beyond simple validation by providing actionable quality metrics and improvement guidance, whereas generic schema validators only report pass/fail compliance
configurable linting rule engine with custom rule support
Medium confidenceProvides an extensible rule-based linting framework where developers can define, configure, and compose custom validation rules for MCP tool schemas. Rules are applied as a pipeline with support for rule severity levels (error/warning/info), conditional rule application, and rule composition patterns.
Provides a composable rule engine architecture where rules can be chained, conditionally applied, and customized without modifying core linting logic, enabling organization-specific validation patterns
More flexible than static linting tools because it allows runtime rule composition and custom rule injection, whereas most schema validators have fixed rule sets
batch schema validation with reporting
Medium confidenceProcesses multiple MCP tool schemas in batch mode, applying validation and quality scoring across an entire tool catalog or directory structure. Generates consolidated validation reports with aggregated metrics, failure summaries, and per-tool details, supporting both CLI and programmatic interfaces.
Provides both CLI and programmatic batch validation interfaces with consolidated reporting, designed specifically for validating tool catalogs rather than individual schemas
Enables bulk validation of entire tool ecosystems in a single operation with aggregated reporting, whereas running individual schema validators requires orchestration logic
schema documentation extraction and generation
Medium confidenceExtracts structured documentation metadata from MCP tool schemas (descriptions, parameter documentation, examples, usage patterns) and generates human-readable documentation or schema reference guides. Supports multiple output formats and can identify missing or incomplete documentation.
Extracts and structures documentation from MCP schemas specifically, understanding tool-specific metadata patterns and generating documentation tailored to MCP tool catalogs
Purpose-built for MCP tool documentation extraction, whereas generic documentation generators require custom configuration to understand tool schema structure
type safety and parameter validation rules
Medium confidenceAnalyzes tool schema parameter definitions to enforce type safety, validate parameter constraints (required/optional, min/max values, enum values), and detect type mismatches or unsafe patterns. Checks for proper type declarations, constraint definitions, and compatibility with MCP protocol type system.
Implements MCP-specific type validation rules that understand the protocol's type system and parameter constraint patterns, enforcing type safety at the schema level
More targeted than generic type checkers because it validates MCP-specific type patterns and parameter constraints without requiring external type checking tools
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
Related Artifactssharing capabilities
Artifacts that share capabilities with @toolspec/core, ranked by overlap. Discovered automatically through the match graph.
mcp-tool-lint
Static linter for MCP tool definitions — catch quality defects before deployment
mcp-lint
Lint MCP server tool schemas for cross-client compatibility + runtime preflight for agent tool calls
mcp-schema-lint
CLI linter for MCP tool/resource schemas
@toolrank/mcp-server
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@mcp-contracts/core
Snapshot, diff, and classify MCP tool schema changes
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MCP tool description optimizer. Agents choose you or they don't. Twig makes them choose you.
Best For
- ✓MCP server developers building tool integrations
- ✓teams standardizing tool definitions across multiple MCP implementations
- ✓CI/CD pipelines validating tool schemas before deployment
- ✓MCP tool developers iterating on schema quality
- ✓teams establishing tool quality standards and governance
- ✓organizations managing large tool catalogs requiring quality gates
- ✓organizations with custom tool schema governance requirements
- ✓teams building internal MCP tool ecosystems with specific standards
Known Limitations
- ⚠Linting rules are static and cannot validate runtime behavior or actual tool functionality
- ⚠Does not validate tool implementations themselves, only schema structure and metadata
- ⚠Limited to MCP protocol specification — cannot validate custom extensions or proprietary tool attributes
- ⚠Quality scoring is heuristic-based and may not capture domain-specific quality requirements
- ⚠Does not evaluate tool usefulness or user adoption — only schema characteristics
- ⚠Scoring weights are fixed and cannot be customized per organization or use case
Requirements
Input / Output
UnfragileRank
UnfragileRank is computed from adoption signals, documentation quality, ecosystem connectivity, match graph feedback, and freshness. No artifact can pay for a higher rank.
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MCP tool schema linting and quality scoring engine
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