Manufacturing Forecast

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

Annotations already indicate read-only, idempotent, non-destructive behavior. The description adds valuable authentication context not present in annotations: the API key can be passed via headers or query parameter, and valid keys activate 'Pro' tier features. However, it omits other behavioral details like rate limits or data freshness.

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 brief (two sentences) but inefficiently structured. The first sentence is cryptic and noun-heavy without a verb. The second sentence about API authentication is important but disconnected from the first, lacking transition or prioritization of the most critical information upfront.

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 presence of an output schema and only two simple parameters, the description is minimally adequate. It identifies the domain-specific indicators available but fails to explain what 'forecast' means in this context (predictions vs. historical data), what the default timeframe behavior is, or how to interpret the results.

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 partially compensates by listing the three indicator types (durable goods, new orders, industrial production) that map to the enum values. This provides human-readable semantics for the required 'indicator' parameter. However, it completely omits the optional 'timeframe' parameter, leaving that undocumented.

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 lists the specific manufacturing indicators covered (durable goods, new orders, industrial production) which distinguishes it from sibling forecast tools by domain. However, it lacks a specific verb describing the action (e.g., 'retrieve', 'get') and instead uses a category label format ('Manufacturing:...'), leaving the exact operation ambiguous.

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?

No explicit guidance on when to use this tool versus sibling forecast tools (like forecast_gdp or forecast_commodities) or prerequisites. The sibling differentiation is left to the tool name and the indicator enum values rather than explanatory text in the description.

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