NotebookLM MCP Server

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It reveals the confirmation requirement workflow and default parameter behaviors, but doesn't describe mutation effects, permission needs, rate limits, or what the generated quiz contains. It adequately covers the confirmation constraint but lacks broader behavioral context.

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 appropriately sized with two sections: a summary sentence and a parameter explanation block. Every sentence adds value, though the structure could be more front-loaded by integrating parameter defaults into the main description rather than separating them.

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 (5 parameters, mutation operation) and absence of annotations, the description provides good coverage of parameters and workflow. The existence of an output schema means return values don't need explanation. It adequately covers the core functionality but could better address mutation implications.

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?

With 0% schema description coverage, the description compensates well by explaining all 5 parameters in the Args section. It clarifies notebook_id as a UUID, source_ids defaults to all sources, question_count and difficulty have defaults, and confirm requires True after approval. This adds substantial meaning beyond the bare schema.

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 with a specific verb ('Generate quiz') and identifies the resource (quiz). It distinguishes from siblings like 'flashcards_create' or 'report_create' by specifying quiz generation, but doesn't explicitly contrast with other content creation tools beyond the name.

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 clear context about when to use the tool ('Requires confirm=True after user approval'), establishing a prerequisite workflow. However, it doesn't specify when NOT to use it or name alternatives among sibling tools, leaving some ambiguity about tool selection.

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