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

Annotations are all false, providing minimal safety info. The description adds key behavioral details: it is asynchronous ('assíncrono') and returns the artifact in generation state. It also explains how different options affect the output. This compensates well for the sparse 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 reasonably concise given the complexity, but the mixture of Portuguese and English and the inline parameter details in a paragraph format slightly reduce clarity. It is front-loaded with the main action and follow-up guidance.

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?

It explains generation parameters and follow-up actions. No output schema exists, so description could mention expected return value or error handling. Given the tool's complexity (nested options, 6 params), it is mostly complete for invocation, but missing some behavioral context.

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 fully compensates by detailing each kind and its specific options with examples (e.g., audio format, slide_deck length, quiz difficulty). It adds meaning far beyond the schema's bare property names.

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 generates a notebook artifact and lists all possible kinds. It distinguishes itself from sibling tools that manage already generated artifacts (e.g., notebooklm_artifact_get, notebooklm_artifact_list).

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 advises to follow up with notebooklm_artifact_list/get, providing usage context. However, it does not explicitly state when to use this tool versus alternatives, though the context is somewhat implied by its uniqueness.

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