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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive behavior, so the safety profile is covered. The description contributes genuinely new behavioral information beyond the annotations: results are reference-only (not tax/legal/investment advice) and the caller must propagate the returned notice and source line in its answer — an output-handling obligation an agent could not infer from structured fields.

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?

What the tool is comes first and is a single tight clause with examples. The only waste is the near-verbatim Chinese/English duplication of the disclaimer for a no-parameter tool, which inflates length without adding information, though the bilingual pattern is plausibly intentional for this site.

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 no input parameters and no output schema, the description carries the return-shape burden and does so at a high level — it says each entry comes with a current version and that a notice/source line is returned. It stops short of naming the identifying field (e.g. a dataset key) that get_dataset would consume, which is the one thing an agent would still want to know.

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 tool takes zero parameters, so there is nothing to disambiguate and the baseline is 4. The description correctly adds no parameter guidance, which is appropriate here.

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?

States a specific verb and resource — 'the datasets the site publishes' — and enumerates concrete examples (人民币汇率中间价, 出口退税率文库, 集装箱规格) plus the fact that each carries a current version. An agent can distinguish it from get_dataset/get_dataset_rows by name and content, though the description never explicitly contrasts itself with those siblings.

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?

Usage is only implied: an agent can infer this is a discovery call that precedes get_dataset, but the description never says 'call this first to find a dataset before fetching rows' or state any exclusions. The dominant second half of the text is about output handling rather than when to select this tool.

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