macro_euro_gdp_yoy

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The description adds the historical coverage window (20131114-present), the source URL, and the return type (pandas.DataFrame), which is genuine extra context but not deep behavioral disclosure.

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 date coverage are front-loaded in the first sentence, which is efficient. The trailing ':return:' line merely restates the subject and ':rtype: pandas.DataFrame' is a docstring artifact, minor redundancy but not bloating.

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, no-output-schema report endpoint, the description gives the subject, region, history window, source, and return type — enough for an agent to invoke it correctly. It lacks only guidance on result granularity or update cadence.

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 per the rubric the baseline is 4. There is nothing for the description to disambiguate, and schema coverage is effectively 100%.

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 states a specific verb+resource: the Eurozone quarterly GDP YoY report, with a concrete data coverage window (20131114 to present). An agent can tell it apart from China/US/UK GDP siblings by region, though no sibling is named explicitly. Clear but without explicit differentiation language.

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?

No when-to-use, when-not-to-use, or alternative is offered. The description only states the data's subject and date range, leaving the agent to infer that this should be used for Eurozone GDP YoY time-series needs.

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