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

Annotations already establish read-only, idempotent, and non-destructive behavior, so the description is not the sole carrier. It adds a concrete access detail—optional API key via headers or query parameter selects Pro when valid—which is useful behavioral context beyond the schema. It does not over-explain return semantics, which are covered by the output schema.

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 short sentences with no filler: the first identifies domain and valid indicators, the second gives the API-key behavior. Every sentence earns its place and is front-loaded.

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?

For a simple two-parameter tool with a rich output schema and safety annotations, the description plus schema is mostly sufficient. The main residual gaps are the lack of explicit usage guidance and unmentioned timeframe semantics, but the schema's enums and default mitigate those.

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 0%, so the description must compensate. It makes the three indicator enum values more readable, but it says nothing about 'timeframe' or how the default works. The second sentence is about API auth, not parameter meaning, leaving one of two parameters effectively undocumented in prose.

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 opens with the domain 'Manufacturing:' and enumerates the exact indicator set (durable goods, new orders, industrial production), making the resource clear. It lacks an explicit verb like 'fetches' or 'forecasts', but the tool name and title supply that, and the list differentiates it from the other forecast_* siblings.

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 guidance is given on when to choose this tool over forecast_commodities, forecast_gdp, or other siblings; the sibling names are the only signal. There are also no exclusions or criteria such as 'use for US manufacturing data only'.

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