Single tool 'get_docs' has a clear action verb and reasonable description (89 chars), but critical gaps undermine quality. Schema is present with proper types and descriptions for all three parameters, meeting baseline requirements. However, the tool lacks output schema documentation, LLMs cannot predict the return structure. Parameter descriptions are adequate but lack format constraints (e.g., max_chars range, query format guidance). No error handling guidance; the tool raises ValueError for invalid library but provides no recovery path. The tool performs a multi-step operation (search + fetch) that could fail at either stage, yet error responses are generic strings ('No results found', 'Timeout occurred'). No idempotency guarantees, no rate-limit awareness, and no guidance on when to retry. The max_chars default (1000) is reasonable but undocumented in the description itself.

• Add explicit output schema to tool docstring: 'Returns: str, concatenated plaintext from up to 2 documentation pages, truncated to max_chars. Returns error message string if no results or timeout.'
• Enhance error messages with recovery guidance: 'No results found for query in {library}. Try a simpler query or check library name is one of: langchain, llama-index, openai.' Timeout errors should suggest retry.
• Document max_chars range in parameter description: 'Maximum characters to return (1 - 10000, default: 1000 for free tier).'
• Add query format guidance: 'The query to search for (e.g., "Chroma DB"). Use natural language or specific feature names. Avoid URLs or code snippets.'
• Categorize errors in docstring: 'Raises ValueError if library not supported (user-fixable: check library name). Returns error string on timeout (retryable) or no results (try different query).' This guides LLM recovery logic.