The NotebookLM MCP server has 6 tools with visible schemas and descriptions. All tools start with action verbs (list_, create_, add_, chat_) which is positive. However, the server has critical weaknesses: (1) Parameter descriptions are universally MISSING or bare (notebook_id, url, text, query have no descriptions beyond the parameter name itself). (2) Output schemas are not documented, return types are inferred from code (list[dict], dict, str) but no field-level documentation exists. (3) No error handling guidance is provided, tools will fail if API calls error but the responses lack recovery instructions. (4) Input validation is absent, parameters are raw strings with no length limits, format constraints, or enum declarations. (5) Tool descriptions are concise but lack the LLM-optimized detail required by the rubric (WHAT, WHEN, prerequisites). The server would struggle in production: an LLM cannot reason about output structure without documented schemas, and cannot correct errors without recovery guidance. The code shows async context manager usage and clean API wrapping, which is positive, but definition quality lags significantly behind production expectations.

• Add parameter descriptions to every input schema. For each parameter, state what it controls, valid format, constraints, and examples. E.g. notebook_id: 'The unique identifier (UUID) of the NotebookLM notebook. See list_notebooks() to retrieve available notebook IDs.'
• Document output schemas explicitly. For each tool, describe the return type and all fields. E.g. list_notebooks returns [{"id": "string (UUID)", "title": "string (1-255 chars)"}]. This enables LLMs to plan downstream calls and extract data correctly.
• Add error handling with recovery guidance. Wrap API calls in try-except blocks. Return structured errors with actionable messages: {'error': 'notebook_not_found', 'message': 'Notebook XYZ not found. Call list_notebooks() to see available notebooks.'}
• Add input validation. Validate URLs with a regex or urllib.parse.urlparse(). Validate notebook_id format (UUID). Reject strings that exceed length limits. Return validation errors with the constraint violated.
• Enhance tool descriptions to include WHEN to call them and dependencies. E.g. 'List all sources currently in a notebook. Call this first to see what materials the notebook contains before adding new sources or asking questions.'
• Add pagination support to list_notebooks and list_sources. Accept optional limit (1-100, default 20) and offset (default 0) parameters. Return {'items': [...], 'total': 42, 'offset': 0, 'limit': 20} to enable iteration over large result sets.
• Document the notebooklm-py library's response schema. If certain fields may be missing, explicitly state which are optional and provide sensible defaults in the code.