macro_euro_retail_sales_mom

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

Annotations already declare readOnly/idempotent/openWorld/non-destructive, so the safety profile is covered. The description still adds real value beyond them: the coverage window (2000-03-01 to present) and the returned object (:rtype: pandas.Series containing 今值 %), which the annotations do not convey.

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?

Purpose and coverage are front-loaded in the first clause, but two raw CDN/datacenter URLs are embedded as noise an agent cannot act on. Short overall, yet some content does not earn its place.

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 output schema and no parameters, the description carries the return-value burden and does so (:return:: 今值(%); :rtype: pandas.Series), plus the historical range. Missing only any note on update frequency/lag, which is minor for a read-only macro series.

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 schema declares zero parameters, so the baseline is 4; there is no parameter semantics to explain and the description correctly documents no arguments, only the data range.

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?

Names a specific metric and scope: the Eurozone retail sales MoM report, with the data range (20000301-至今) front-loaded. An agent can tell it apart from adjacent tools by region+metric even though no sibling (e.g. macro_uk_retail_monthly, macro_euro_ppi_mom) is named explicitly.

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 never states when to use this tool versus alternatives, nor any prerequisites or freshness caveats. It is purely a data-source pointer, leaving selection entirely to the agent.

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