NexusForge EU Finance

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions the return types ('GDP growth rate or absolute values') but fails to describe critical behaviors such as data format, error handling, rate limits, authentication needs, or whether the operation is read-only. This is a significant gap for a data retrieval 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 description is efficiently structured in two sentences, with the first stating the core purpose and the second adding source information. There is no redundant or verbose language, though it could be slightly more front-loaded by integrating the source into the first sentence.

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?

Given the lack of annotations and output schema, the description is moderately complete for a data retrieval tool. It covers the what and source but misses behavioral details and output specifics. The high schema coverage helps, but the absence of output information and behavioral context limits overall completeness.

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 schema description coverage is 100%, so the schema already documents all parameters thoroughly. The description adds no additional meaning beyond what the schema provides, such as explaining parameter interactions or usage examples. However, it does imply the tool's purpose aligns with the parameters, maintaining the baseline score.

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 specific action ('Get quarterly GDP data'), resource ('EU countries'), and output type ('GDP growth rate or absolute values'), distinguishing it from sibling tools like get_eu_inflation or get_eu_unemployment. It also specifies the data source ('Eurostat National Accounts'), which further clarifies its 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?

The description provides no guidance on when to use this tool versus alternatives like compare_eu_economies or get_ecb_rates. It lacks context about use cases, prerequisites, or exclusions, leaving the agent to infer usage based solely on the tool name and description.

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