macro_china_cx_services_pmi_yearly

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

Annotations already supply the full safety profile (readOnlyHint, idempotentHint, openWorldHint, destructiveHint=false), so the description need not restate those. It adds the historical coverage start date and the upstream source URLs, which is genuinely useful provenance. It does not describe return shape beyond ':return: pandas.DataFrame', pagination, or update cadence, so it is adequate but not rich.

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 resource name and date range are sensibly front-loaded, but two raw CDN/JS URLs and a bare ':return:' annotation add clutter that a reader must parse. It is short overall, yet not every element earns its place in a description intended for tool selection.

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?

For a zero-parameter retrieval tool with annotations covering the safety profile and no output schema, the essentials are present. But the description never clarifies the reporting frequency implied by the 'yearly' suffix in the name, nor the granularity of the returned DataFrame, leaving an ambiguity an agent might care about.

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, which is the documented baseline of 4. There is no parameter syntax to explain, so the description cannot and need not add 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 names the specific resource: the Caixin (财新) China Services PMI report, with a concrete data range (20120405 to present). An agent can identify it as a macroeconomic data retrieval tool. However, it offers no differentiation from near-identical siblings such as macro_china_cx_pmi_yearly (composite) or macro_china_pmi_yearly (official PMI), so the agent must infer the distinction from the name alone.

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?

There is no explicit when-to-use guidance, no exclusions, and no named alternatives, despite a very crowded sibling set of PMI and macro-China tools. The agent is left to infer usage purely from the name and report title.

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