Server has 11 tools with consistent naming (verb_noun pattern) and basic descriptions. All tools have input schemas with type definitions. However, descriptions are generic and lack LLM-optimization guidance (average ~120 chars, below the 50-200 char ideal for A-grade tools). Parameter descriptions are minimal, most lack format constraints, valid ranges, or dependency hints. Output schemas are undocumented (tools return free-text strings rather than structured objects). Error handling is present but generic ('Error X: {str(e)}') without recovery guidance. No tool annotations (readOnlyHint, destructiveHint, idempotentHint) despite clear risk levels. Missing pagination for list_notebooks and list_artifacts despite potential for large result sets.

• Refactor all tools to return structured JSON objects instead of formatted strings. Example: list_notebooks should return {notebooks: [{id: string, title: string, sources_count: number}], total_count: number} instead of a formatted text block.
• Add tool annotations using FastMCP decorators: @mcp.tool(description='...', hints={'destructive': True}) for delete_notebook; @mcp.tool(hints={'readOnly': True}) for query_notebook, list_notebooks, get_notebook_details, list_artifacts, get_report_content.
• Enhance error handling with categorized, actionable messages. Example: catch NotebookNotFoundError and return {error: 'notebook_not_found', message: 'Notebook {id} not found. Call list_notebooks() to see available notebooks.', retryable: false}.
• Add format constraints to parameter descriptions. Example: notebook_id description should state 'UUID format (e.g., 550e8400-e29b-41d4-a716-446655440000)' or actual format used by NotebookLM API.
• Implement pagination for list_notebooks and list_artifacts. Add limit (default 20, max 100) and offset parameters. Return {items: [...], total_count: number, has_more: boolean} instead of formatted text.