macro_euro_retail_sales_mom

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true, and openWorldHint=true, covering the tool's safety profile. The description adds the data range and return format, but does not disclose additional behavioral characteristics such as data freshness, update frequency, or any network dependencies. This is acceptable given the strong annotation coverage.

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 relatively concise and front-loads the key identification of the report before providing source URLs and return type. However, it includes two URLs that add some clutter, and the structure could be slightly tighter, so it does not achieve a perfect score.

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, read-only data retrieval tool, the description is sufficiently complete: it states the metric, the historical data range, the return value, and the return type. It omits minor details like release frequency or exact data source semantics, but these are not critical for basic usage.

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 has zero parameters, and the schema correctly reflects that with no properties. Since there are no parameters to document, the baseline of 4 applies, and the description is not required to explain parameter behavior.

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 states the tool provides the Eurozone retail sales month-over-month report (欧元区零售销售月率报告), with an explicit data range from 20000301 to present. It specifies the return value as the current value in percent and the return type as pandas.Series. This distinguishes it from sibling tools such as macro_euro_cpi_mom or macro_uk_retail_monthly.

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 no guidance on when to use this tool compared to alternatives. It does not mention use cases, exclusions, or relationships with sibling macro tools, leaving the agent without selection context beyond the tool's name and basic purpose.

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