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

Annotations already specify read-only, idempotent, non-destructive, and closed-world behavior. The description adds important context beyond annotations: the URL is bounded, eligibility depends on the canonical catalog marking the release public, and the tool does not proxy dataset content. This meaningfully clarifies operational boundaries.

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 two tightly written sentences with no wasted text. The action and gating condition are front-loaded, followed immediately by an important non-behavioral caveat.

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 has rich annotations and an output schema, so the description does not need to explain safety or return values. It covers the critical public-release gating and non-proxy behavior. The main remaining gap is parameter-level meaning, which the schema partially covers through types, defaults, and an enum.

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%, so the description should compensate for undocumented parameters. It does not mention dataset_id, count, or format at all. The schema itself supplies names, types, defaults, enum values, and bounds, but the description adds no parameter meaning.

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 action and object: it builds a bounded request URL for the current release. It also clarifies the public-release condition and that it does not proxy dataset content. It does not explicitly differentiate itself from siblings like search_datasets or describe_dataset, but the core purpose is clear.

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 gives a clear precondition: use only when the canonical catalog marks the current release public. It also says the tool does not proxy content, which implies a non-retrieval use case. However, it does not name alternatives or explain when to use this versus sibling tools.

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