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

Annotations already declare readOnly, idempotent, non-destructive, so the description adds meaningful context by explaining optional authentication and free vs Pro tier access. No contradiction, though rate limits and error behavior are not mentioned, which is minor given 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 short sentences: the first states the tool's purpose, the second gives authentication details. No wasted words, well front-loaded, and easy to scan.

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 2 enum parameters and an output schema, the description covers purpose and auth but misses parameter semantics, especially timeframe and the gold indicator (which appears only in the enum, not the prose). The gold omission and 'volatlity_gold' typo are unaddressed, leaving ambiguity about full 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?

Schema description coverage is 0%, so the description carries the burden, but it only lists commodities in prose and never explains the indicator enum values or the timeframe parameter. It fails to distinguish the two crude oil options, the gold typo, or how timeframe affects outputs.

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?

States it provides macro forecasts for specific commodities (crude oil, natural gas, aluminium, and volatility), which clearly maps to the indicator enum and distinguishes it from sibling forecast_* tools. The verb and resource list are explicit and specific.

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?

Description implies usage when commodity forecasts are needed, but provides no explicit when-to-use or when-not-to-use guidance, and no alternatives are mentioned. The authentication details are operational rather than selection-oriented.

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