NotebookLM MCP Server

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

No annotations are provided, so the description carries full burden. It discloses the critical behavioral trait of requiring user approval via the confirm parameter, which is essential for a creation tool. However, it doesn't mention other important behaviors like whether this operation is reversible, what permissions are needed, rate limits, or what happens on failure. The description adds some value but leaves significant behavioral aspects unspecified.

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 efficiently structured with a clear opening sentence followed by a well-organized Args section. Every sentence earns its place: the first establishes the core action and critical constraint, while the Args provide essential parameter context. No wasted words or redundant information.

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 complexity of a creation tool with 5 parameters, 0% schema coverage, and no annotations, the description does a reasonably complete job. The presence of an output schema means the description doesn't need to explain return values. The description covers the approval requirement and parameter meanings adequately, though it could better address behavioral aspects like error conditions or side effects.

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 must compensate for the schema's lack of parameter documentation. The Args section provides meaningful explanations for all 5 parameters, clarifying what each represents (e.g., 'Notebook UUID', 'Description of the data table to create', 'Source IDs (default: all)'). It adds substantial value beyond the bare schema, though it could provide more detail about format expectations for source_ids or language codes.

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 verb 'Generate' and resource 'data table', making the purpose specific and understandable. However, it doesn't explicitly differentiate this tool from sibling tools like 'notebook_add_text' or 'report_create', which also create content within notebooks. The description could better explain what makes a 'data table' distinct from other content types.

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 usage guidance with 'Requires confirm=True after user approval' and repeats this in the Args section. This clearly indicates when to use the tool (after user approval) and includes a prerequisite condition. While it doesn't mention specific alternatives among siblings, the approval requirement serves as a strong contextual guideline.

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