macro_euro_sentix_investor_confidence

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and idempotentHint=true, so the agent knows this is a safe, read-only operation. The description adds the data range and return type, which provides some behavioral context. However, there is potential ambiguity: it mentions '今值' (current value) but the return type is a pandas.Series, leaving unclear whether the output is a single latest value or a full time series. This is not a contradiction with annotations, but it does not fully clarify behavior.

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 concise and front-loaded with the core information: report name and data range. The URLs are useful references and the return type is stated. However, the formatting is a bit informal and the URLs consume space, but overall every sentence has a purpose. It is appropriately sized for a simple tool.

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 no output schema and no parameters, the description should clarify what the returned data looks like. It states the return type as pandas.Series and mentions '今值' (current value), but does not explain whether the series contains historical data or just the latest observation, nor does it describe the index or units. The data range is given, but the ambiguity about the series content makes the description only partially 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, so the input schema is empty. The description does not need to explain parameters, and the baseline for 0-parameter tools is 4. The description adds no parameter information, but none is required.

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 the tool provides the Eurozone Sentix investor confidence index report with a specific data range (20020801 to present) and return type. Although there is no explicit action verb like 'retrieve' or 'query', the combination of the report name, data range, and return type makes the purpose clear. It is distinct from sibling macro_* tools because it uniquely targets the Sentix confidence index.

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 versus alternative macroeconomic data tools. The description does not mention any exclusions, prerequisites, or scenarios where this tool is preferred. It only provides the data source URLs, which do not help with tool selection decisions.

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