Single tool with acceptable naming and description, but output schema is completely undocumented and error handling lacks actionable guidance. The tool name 'get_docs' follows verb_noun convention correctly. The description is detailed (194 chars) and explains the multi-step process, but the response type is a raw string with no structure, agents cannot parse or chain results. Error messages are present but generic ('❌ Library not supported', '❌ No results found') without recovery guidance. No input validation constraints (enums for library parameter, length/format for query). The tool operates in isolation with no composition patterns or downstream chaining support.

• Add an enum constraint to the 'library' parameter: enum=["langchain", "langgraph", "nextjs", "tailwind", "framer", "mcp"]. This prevents hallucinated library names and makes the tool self-documenting.
• Redesign the return type from str to a structured dict: {"status": "success|error", "results": [{"url": str, "snippet": str, "title": str}], "error_message": str, "total_results": int}. This allows agents to extract and reason about individual search results.
• Add result limit documentation to description: 'Returns up to 2 search results. Use distinct queries or narrow library selection if results are incomplete.' Makes pagination strategy explicit.
• Enhance error messages with actionable recovery steps. E.g. 'Library not supported. Try one of: langchain, langgraph, nextjs, tailwind, framer, mcp. Or search across all docs with library="mcp".' instead of bare rejection.
• Add query parameter constraint to description: '1-200 character search term. Examples: "authentication", "vector database", "async functions". Avoid quotes and special characters unless searching for exact phrases.'
• Add documentation of HTTP_TIMEOUT (30s) and MAX_SEARCH_RESULTS (2) as part of tool behavior in description: 'Fetches up to 2 results per search (30 second timeout per result). May return partial results or timeout error if documentation site is slow.'
• Consider adding a discovery tool like 'list_supported_libraries' to help agents discover available documentation sources without trial-and-error.