macro_euro_zew_economic_sentiment

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint false, covering the safety profile. The description adds the data range and source URLs but does not disclose additional behavior such as data frequency, potential delays, or error conditions. No contradiction with annotations.

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, with a clear front-loaded purpose followed by source URLs and return type. The two URLs are somewhat redundant but not overly verbose.

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 no-parameter tool, the description covers the main points: what data is returned, the date range, and return type. However, it does not fully describe the Series structure (index, frequency, columns) and there is no output schema to compensate, leaving some ambiguity about the exact return format.

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, so the baseline is 4. The description provides relevant context about the returned data (current values as a pandas.Series) without needing to explain parameter syntax or choices.

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 tool as providing the Eurozone ZEW economic sentiment index report, with a specific date range and return type (pandas.Series of current values). It explicitly names the resource and distinguishes from the similar German ZEW tool via the 'Eurozone' scope.

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 explicit guidance on when to use this tool versus the many macro-economic siblings, nor any exclusions or alternatives. The description only states what the tool does, not when to select it.

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