list_notebooks

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

No annotations are provided, so the description must fully disclose behavioral traits. It only lists output fields but fails to mention that the tool is read-only, whether special permissions are needed, or how empty parameters behave. For a list operation with optional parameters, more transparency is expected.

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 given the lack of parameter and behavioral info, it is under-specified. It is front-loaded with the core purpose, but misses essential details for correct invocation.

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?

With two optional parameters, no schema descriptions, no annotations, and an output schema not shown, the description is incomplete. It does not cover parameter semantics, return structure, or edge cases. An agent would lack critical context to invoke the tool reliably.

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 0%, and the description does not explain the 'cluster' and 'namespace' parameters at all. There is no hint about their purpose, default values, or expected format. The description adds no value beyond the schema's minimal structure.

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 'List' and the resource 'Kubeflow Notebooks', and specifies the fields returned (state, image, CPU/memory requests, age). This is specific and distinguishes from sibling tools like list_pods or list_jobs.

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 implies the tool is for listing notebooks, which is a distinct use case. However, no explicit guidance is given on when to use vs alternatives, nor any prerequisites (e.g., cluster/namespace). With zero schema coverage, the agent gets no hint about parameter defaults or required context.

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