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

Annotations already declare the tool as read-only and non-destructive. The description adds behavioral context by noting 'metadata-first' and 'grouped by API endpoint type', which clarifies the nature of the payloads. This is similar to the high benchmark, where annotations cover safety and description adds scoping, so a 3 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 just two sentences, with the first stating the core action and the second providing essential supported values. While the long lists add density, they are directly useful and each word serves a purpose. There is no redundant fluff.

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 an output schema and strong annotations, the description provides adequate context for a metadata retrieval tool. It explains what is returned, how to select parameters, and lists supported values. It does not discuss pagination or response details, but the output schema covers return structure.

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?

Schema description coverage is 100% with detailed parameter descriptions, so the baseline is 3. The tool description repeats the supported lists for endpoint_type and dataset but adds no additional meaning beyond what the schema already provides, such as conditional requirements for component.

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 states the tool retrieves 'metadata-first official dataset payloads grouped by API endpoint type', with a specific verb and resource. It lists supported endpoint types and datasets, making its scope unambiguous and distinguishing it from sibling data tools like commodities or forex.

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?

The description provides instructions on parameter selection ('Use endpoint_type to pick...') and enumerates supported values, implying usage when those datasets are needed. However, it does not explicitly contrast with alternative tools or state conditions for when not to use it, leaving some ambiguity relative to sibling tools.

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