Two tools with clear naming, reasonable descriptions, and complete input schemas. Both tools follow verb-noun naming convention (search_documentation, read_documentation) which aligns with LLM expectations. Input schemas are well-structured with types and descriptions. However, output schemas are not documented in the visible code, parameter descriptions lack constraint information (e.g., format examples for 'path'), and error handling guidance is minimal. The server implements sensible defaults (limit=10, max=50) and validates input early, but lacks actionable error recovery messages. Both tools are READ_ONLY (safe), reducing risk. Overall definition quality is solid but missing output documentation and detailed constraint specifications that would push this toward 80+.

• Document the output schema for each tool. For search_documentation, specify: returns array of {path: string, title: string, excerpt: string, relevance: float, section: string}. For read_documentation, specify: {path: string, title: string, content: string, last_updated: string}.
• Replace 'common sections' example list with a schema enum: section: {type: string, enum: ["docs", "guides", "concepts", "reference", "troubleshooting"]}. This is machine-parseable and prevents the LLM from inventing section names.
• Add explicit path validation in read_documentation description: 'Path must be relative (no leading /), match pattern docs/**/*.md or guides/**/*.md, and not contain ../ sequences.' This prevents traversal attacks and clarifies constraints.
• Enhance error messages with recovery guidance. E.g., 'No results found for "xyz". Try: (1) broader search term, (2) filter by section, (3) call list_sections() to see available sections.' This guides the agent's next step.
• Add 'has_more' or 'next_offset' field to search_documentation response schema and document pagination behavior: 'If has_more=true, caller should retry with offset=<returned_offset> to fetch next batch.' This enables proper multi-page iteration.
• Add per-item error handling for read_documentation (e.g., if path is invalid, return {success: false, error: "File not found, try search_documentation() first"}). This enables graceful degradation and helps the LLM recover.