agricultural_commodities

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

The description discloses the key behavior (providing prices and 6-month trends for a fixed set of commodities). With no annotations provided, this covers the essential behavior. It could be more precise about data freshness (e.g., 'current prices') but is adequate.

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?

A single, clear sentence of 14 words with no fluff. It front-loads the tool's purpose and lists specifics efficiently.

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 tool has no parameters and an output schema exists (documenting return values), the description is complete enough for a simple data retrieval tool. It names all relevant commodities and the key metric (trend). Could explicitly mention 'current prices' but suffices.

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?

There are no parameters, so the description does not need to add parameter info. Schema coverage is 100% trivially. Baseline for 0 params is 4, and the description adds no misleading or redundant info.

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 lists specific commodities (corn, wheat, etc.) and states it provides prices with a 6-month trend. This distinguishes it from sibling tools like energy_markets or industrial_metals. The verb 'provides' is implied and unambiguous.

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 or not. However, for a zero-parameter data retrieval tool, the usage context is self-evident: call it when you need agricultural commodity prices. Lacks exclusions or alternatives.

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