notebooklm_generate

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

No annotations are provided, so the description must disclose behavioral traits. It only says 'Trigger ... generation,' which implies an async operation, but does not mention side effects, required permissions, rate limits, or whether the tool returns a job ID or waits for completion. The behavioral disclosure is insufficient.

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 a single sentence, which is concise but overly terse. It lacks any structure or breakdown of key information. While not verbose, it sacrifices clarity for brevity, earning a middle score.

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 has three parameters with zero schema descriptions and a potentially complex output schema (not shown), the description is too minimal. It does not explain what 'artifact generation' entails, what artifact types are possible, or how headless mode affects behavior. The completeness is poor.

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?

The input schema has 0% description coverage, and the tool description does not explain any parameter (cluster_slug, artifact_type, headless). Despite having three parameters including one with a default, no meaning is added beyond the schema's structural definition, which is inadequate.

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 uses a specific verb 'Trigger' and identifies the resource 'NotebookLM artifact generation for a cluster notebook,' making the action clear. It is distinct from sibling tools like 'ask_cluster_notebooklm' or 'notebooklm_bundle' as it focuses on generation rather than querying or bundling, but it does not explicitly differentiate.

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 no guidance on when to use this tool versus alternatives such as 'ask_cluster_notebooklm' or 'notebooklm_download'. No context about prerequisites, typical use cases, or exclusions is given, leaving the agent to infer usage from the name alone.

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