Single tool with basic structure but significant quality gaps. Tool name 'get_docs' follows verb_noun convention (+). Description is present but generic (194 chars, within baseline range). Input schema visible with two string parameters, both with descriptions. However, critical issues: no output schema documented, no error handling guidance, no parameter constraints (library enum missing), no pagination support despite potentially large results, and no indication of what fields/structure the response contains. The tool accepts external API keys (SERPER_API_KEY) but does not expose them as parameters, good security practice. Overall definition quality is below production baseline due to missing output documentation and lack of input validation constraints.

• Add output schema: {"results": [{"url": string, "title": string, "excerpt": string, "content": string}], "total": integer, "query": string}. Document what fields the LLM receives.
• Convert 'library' parameter to enum: ["langchain", "openai", "llama-index"]. Add constraint to 'query' (e.g., max 200 chars). Update parameter descriptions to include these constraints.
• Implement pagination: add 'limit' (default 5, max 20) and 'offset' (default 0) parameters. Return 'total_results' and 'next_offset' in response. Cap concatenated text to ~8000 chars to prevent context explosion.
• Enhance error messages with recovery guidance. Replace 'ValueError: Library X not supported' with 'Library "X" not supported. Supported libraries: langchain, openai, llama-index. Try one of these.' For timeouts: 'Search timed out (>30s). Retry with a shorter or more specific query.'
• Add tool description detail: 'Searches documentation for langchain, openai, and llama-index using web search. Returns up to 5 results with extracted text. Supports natural language queries. Timeout: 30s per request.'