Notebook Describe

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

With no annotations provided, the description must stand alone. It adds useful behavioral context by noting the summary is AI-generated rather than stored, but it does not disclose latency, model dependency, cost, or confirm there are no side effects. This is a moderate gap for an operation that may invoke an AI model.

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 front-loaded sentence with no filler or redundant restatement of the tool name. Every word adds meaning.

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?

The tool is simple, has one well-documented parameter, and an output schema exists, so the description does not need to enumerate return values. However, it lacks explicit routing among sibling lookup tools and does not address the operational implications of AI generation, making it only minimally complete.

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% and the only parameter, notebook_id, is already documented as a 'Notebook UUID'. The description adds no additional parameter meaning, so the baseline of 3 is appropriate.

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 states a specific verb ('Get') and a specific deliverable ('AI-generated notebook summary with suggested topics'), which clearly differentiates this from sibling tools like notebook_get or notebook_list. The resource and nature of the result are unambiguous.

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 tool's purpose implies using it when an AI-generated summary is needed, but the description gives no explicit when-to-use guidance or alternatives. It does not mention that raw notebook content or metadata should be retrieved via notebook_query or notebook_get.

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