Tool Schema To Prompt Injection

via “tool-schema-to-prompt-injection”

Bridge between Ollama and MCP servers, enabling local LLMs to use Model Context Protocol tools

Unique: Injects tool schemas directly into the system prompt as JSON, relying on the LLM's ability to parse and understand structured data in text form. This approach works with any LLM without requiring native function-calling support.

vs others: More flexible than native function-calling APIs, allowing custom schema formats and tool-specific instructions to be tailored per model.

via “prompt injection attack detection via structural analysis”

OpenAI Guardrails: A TypeScript framework for building safe and reliable AI systems

Unique: Uses structural and pattern-based analysis to detect injection attempts rather than relying solely on semantic similarity, enabling detection of novel injection vectors and providing detailed attack vector identification

vs others: Faster and more interpretable than semantic-only detection because it identifies specific injection patterns and markers, though less robust against sophisticated paraphrased attacks than ensemble approaches