macro_bank_euro_interest_rate

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 real context beyond them: the historical coverage window (19990101-present), the external data source URLs, and the return format (pandas.Series of the current value %), which is meaningful for a data-fetch tool.

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 purpose and data range are front-loaded in the first clause, followed by return info. Two raw source URLs and the rtype/treturn ormatter add length, but the whole thing remains short and skimmable.

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 zero parameters and no output schema, the description reasonably supplies the return shape (pandas.Series, current value in %), the data range, and the upstream source, so an agent knows what to expect. Only explicit sibling routing is absent.

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 parameter-level for the description to clarify, and it correctly implies a parameterless fetch.

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?

States a specific verb+resource (European Central Bank interest rate decision report) and the data range (19990101-present), which clearly distinguishes it from the many sibling macro_bank_*_interest_rate tools by country/issuer. However, it never explicitly names or contrasts with those siblings, relying on the identifier alone for differentiation.

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 when-to-use guidance, no mention that the tool takes no parameters, and no indication of how it relates to alternatives such as macro_bank_usa_interest_rate or other regional rate tools. Usage must be fully inferred from the name and content.

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