Single tool 'get_docs' has a reasonable name and description (145 chars), but critical gaps undermine quality. Input schema is present with two string parameters, both described. However, output schema is completely undocumented, the tool returns 'text from the documentation' but no structured schema is defined. The tool lacks error handling guidance (what if SERPER_API_KEY is missing? what if all fetches timeout?). No parameter constraints (library enum, query length limits). The description includes example values ('Chroma DB', 'langchain') which LLMs may reuse literally. No pagination support despite potentially returning large documentation text. Tool is read-only (good), but lacks idempotent/readonly annotations. Overall: functional but below production baseline.

• Define explicit output schema: {type: 'object', properties: {results: {type: 'array', items: {type: 'object', properties: {url: {type: 'string'}, title: {type: 'string'}, snippet: {type: 'string'}}}}, total_chars: {type: 'integer'}, truncated: {type: 'boolean'}}}. Document in tool docstring.
• Add enum constraint to library parameter: {type: 'string', enum: ['langchain', 'openai', 'llama-index']}. Remove example values from description.
• Add error handling to description: 'Returns error if library not supported, SERPER_API_KEY missing, or all fetches timeout. If no results found, returns empty array. Truncates results if >10000 chars.'
• Implement result limiting: cap concatenated text to 5000 chars, return truncated flag, and offer pagination via offset/limit parameters.
• Add query parameter constraints to description: 'query must be 1-200 characters, alphanumeric + spaces. Avoid special characters which may break site: search syntax.'