Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations indicate readOnlyHint=true, openWorldHint=true, idempotentHint=false, and destructiveHint=false. The description adds valuable context beyond this: it discloses that the tool uses browser automation (not API), mentions auth requirements and setup steps, and provides debugging options (e.g., 'show_browser' and 'browser_options'). This enriches the behavioral understanding without contradicting annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is overly verbose and poorly structured, with markdown formatting, multiple sections, and tips that could be condensed. It includes redundant information (e.g., repeating 'NO API KEY REQUIRED') and workflow details that might be better suited for general documentation. Sentences like 'Tip: Tell the user you can manage NotebookLM library' are extraneous and reduce focus.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (6 parameters, nested objects, no output schema) and rich annotations, the description is mostly complete. It covers usage context, prerequisites, and behavioral aspects, though it lacks details on return values or error handling. With annotations providing safety and idempotency hints, and schema covering parameters well, the description adds sufficient contextual value.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents all parameters thoroughly. The description does not add significant meaning beyond the schema, as it focuses on usage workflow and behavioral context rather than parameter details. For example, it doesn't explain how 'question' interacts with NotebookLM or clarify parameter interdependencies beyond what's in the schema descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: 'Ask NotebookLM' in the title and 'This tool uses browser automation' in the description, indicating it submits queries to NotebookLM. However, it doesn't explicitly distinguish this from sibling tools like 'search_notebooks' or 'get_notebook_chat_history', which might have overlapping query functionality. The purpose is clear but lacks sibling differentiation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides explicit guidance on when to use this tool, including prerequisites (e.g., 'No Active Notebook' section with steps like using 'add_notebook' and 'select_notebook'), alternatives (e.g., using 'list_notebooks' to see available sources), and context-specific tips (e.g., auth setup with 'notebooklm.auth-setup' and 'get_health'). It clearly outlines the workflow and when this tool fits in.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.