macro_germany_zew

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

Annotations already declare readOnlyHint=true and destructiveHint=false, covering the safety profile. The description adds the return type (pandas.DataFrame) and a source URL, which is useful but does not disclose additional behavior such as data frequency, date range, or pagination. It does not contradict annotations, so a mid-range score is appropriate.

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 extremely concise, consisting of the title, a URL, and a return-type annotation. It is well-structured with clear labels for return and rtype. No unnecessary words. However, it is almost too terse, lacking any explanatory prose that could help an agent understand the tool's broader role.

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?

The description provides essential context: the data is Germany's ZEW index from a specified source, and the return type is a DataFrame. Yet it omits critical details like time range, frequency, or the columns included in the DataFrame. Without an output schema, the description carries the burden of explaining the return value, but it only states the index name. This is enough for a basic retrieval but not richly complete.

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 coverage is 100% (empty). The description does not need to elaborate on parameters. It mentions the return value, which is relevant context for a parameterless function. Baseline for 0 params is 4, and the description satisfies this.

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 resource: Germany's ZEW Economic Sentiment Index, sourced from Eastmoney's data center. It states the return type and a URL, making the tool's primary purpose apparent. However, it lacks an explicit verb (e.g., 'retrieves' or 'returns'), leaning on the name and title to convey action.

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 guidance on when to use this tool over alternatives. Sibling tools include macro_euro_zew_economic_sentiment and other Germany-specific macro indicators, but the description does not differentiate or provide context for choosing this tool. It simply provides a title and URL, leaving the agent without usage criteria.

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