Single tool 'search_docs' has a clear verb-noun name and basic schema, but lacks depth in parameter descriptions and output documentation. The input schema defines 'query' with a type and brief description, meeting minimum requirements. However, no output schema is documented, and the description (47 chars) is sparse for LLM decision-making. Error handling is minimal, no guidance on what happens if no docs match or if the search fails. The tool is READ_ONLY (safe), but lacks the structured output and recovery hints expected of production tools.

• Add output schema to search_docs: document that it returns a list of doc objects with fields like 'title', 'uri', 'snippet', 'relevance_score'. Include example structure.
• Expand tool description to 80-150 chars: 'Search bundled documentation by keyword. Returns matching docs with snippets. Use this to find relevant docs before reading full content via resources/read.'
• Add constraints to 'query' parameter: 'Keywords or search term (1-200 chars, case-insensitive, supports partial matches). E.g., "authentication", "API key rotation".'
• Implement pagination: add optional 'limit' (default 20, max 100) and 'offset' (default 0) parameters. Return total_count in response so LLM knows if more results exist.
• Add error recovery hints: if no docs match, return 'No docs found for "<query>". Try broader terms or list available doc categories.' If search fails, return 'Search service unavailable. Retry in 5 seconds.'