GDP Forecast

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

Annotations already establish read-only, idempotent, non-destructive behavior. The description adds valuable context: data sources (Federal Reserve banks), output format (annualized %), and authentication requirements. No contradictions 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?

Two well-structured sentences. The first sentence front-loads the core purpose and data sources; the second provides authentication details. No wasted words or redundant information.

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?

Appropriately complete for a simple 2-parameter tool with rich annotations and an output schema. Documents the critical 'indicator' parameter and auth mechanism. The missing 'timeframe' documentation is a minor gap given the parameter has an intuitive name and default value, though it should ideally be mentioned given 0% schema coverage.

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?

With 0% schema description coverage, the description must compensate. It effectively documents the 'indicator' parameter by mapping the cryptic enum values to human-readable 'Atlanta Fed nowcast' and 'St. Louis Fed real GDP nowcast'. However, it completely omits the 'timeframe' parameter (monthly/quarterly/yearly) and its default value.

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?

Clearly identifies the resource (US GDP growth) and specific data sources (Atlanta Fed nowcast, St. Louis Fed real GDP nowcast). However, it does not explicitly distinguish when to use this tool versus sibling forecast tools like forecast_inflation or forecast_labor.

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?

Provides authentication guidance (optional API key via headers or query parameter for Pro access), but lacks explicit guidance on when to select this tool over other forecast siblings and does not explain when to use each indicator option (Atlanta Fed vs St. Louis Fed).

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