Single tool with basic structure but significant definition gaps. Tool name is action-oriented but description lacks LLM optimization details. Input schema present with type information but parameter descriptions are minimal and lack detail on constraints, format, and use cases. No output schema documented. Error handling is minimal, tool raises ValueError for unsupported libraries but provides no recovery guidance or actionable next steps for the LLM. Security concern: tool accepts external URLs and fetches arbitrary content without sanitization or validation, creating injection risk.

• Add formal JSON Schema output documentation: define return type as object with fields 'results' (array of {source: string, content: string}) and 'total_results' (integer). Include this in the tool schema.
• Convert 'library' parameter to an enum constraint in the JSON Schema: enum: ['langchain', 'openai', 'llama-index', 'uv']. Update parameter description to list supported libraries explicitly.
• Expand error handling: when library is unsupported, return structured error: {'error': 'unsupported_library', 'requested': library, 'available': ['langchain', 'openai', 'llama-index', 'uv'], 'recovery': 'Pass one of the supported library names'} instead of raising ValueError.
• Add pagination support: accept 'limit' (default 2, max 10) and 'offset' parameters. Return {'results': [...], 'total': N, 'has_more': bool} to prevent context window exhaustion.
• Document and implement input sanitization: escape query parameters before passing to search API. Validate fetched URLs against a whitelist of known documentation domains to prevent SSRF attacks.
• Enhance parameter descriptions: 'query' should include format example and constraints (max 200 chars, no quotes). 'library' should explain it is a library name, not a URL, and list valid options inline.
• Add timeout handling with explicit error guidance: 'Fetch timed out after 30 seconds. The documentation for {library} may be temporarily unavailable. Try again in a moment or search the community forums.'
• Split tool into smaller compositions if possible: 'search_docs' (search only) + 'fetch_doc_url' (URL to text), allowing LLM to retry individual steps and handle partial failures gracefully.