macro_euro_employment_change_qoq

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

Annotations already declare readOnlyHint=true and idempotentHint=true. The description adds that the data range spans from a specific start date to the present and that the return type is a pandas.Series. It also includes source URLs. This adds some context beyond the annotations, though it does not disclose any potential network behavior or update cadence.

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 mix of a Chinese sentence, two long URLs, and docstring-style return info. It is not overly long, but the URLs are extraneous for tool selection and could distract. The main description is front-loaded, but the structure feels cluttered with reference material.

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 simple parameterless tool, the description covers the essential points: what data is returned, the date range, and the return type. The frequency (quarterly) is implied by the name and description. Minor issues include a typo in the start date ('20083017') and no explicit statement of whether values are seasonally adjusted (though the title says so). Overall, it is sufficiently 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?

There are zero parameters, so the baseline is 4. The description clarifies the output meaning (current value in percent) and the data source, which is helpful for invoking the tool correctly. No parameter explanations are needed because none exist.

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 identifies the resource: '欧元区季调后就业人数季率报告' (Eurozone seasonally adjusted employment change quarterly report) and states the return value as the current value in percent. It is distinct from sibling tools because it specifies the exact macro indicator. However, there is no explicit verb like 'Get' or 'Fetch', though the ':return:' line implies a query function.

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 provides no guidance on when to use this tool versus alternatives. There is no mention of scenarios, exclusions, or comparisons with sibling macro_euro_* tools. The only implied usage is when this specific data point is needed, which is not explicit.

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