commodity_markets

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

Since no annotations are provided, the description carries the full burden of behavioral disclosure. It states it returns price, pool address, and reserves, which implies a read-only query, but it does not explicitly confirm read-only safety or mention any potential side effects, authentication needs, or rate limits. The output is described, but the overall safety profile is left implicit.

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 concise and efficiently structured in three sentences. The first sentence introduces the resource, the second explains the trading mechanism, and the third lists the output fields. There is no fluff or redundant information, and the key output info 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 tool with no parameters and no output schema, the description adequately covers the essential return fields and the domain. It clearly states what is returned and the trading mechanism. The only gap is the lack of mention about how this differs from the sibling 'commodity_price' tool, but that is more a usage-guidance issue. Overall, it is fairly complete for a simple read-only query tool.

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?

The tool has zero parameters, so the schema provides no parameter information. The description adds value beyond the empty schema by explicitly enumerating the returned fields (price in APEX per unit, pool address, reserves), which clarifies what the agent can expect from the output. According to the calibration, a zero-parameter tool gets a baseline of 4, and this description meets that.

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 states it returns live commodity market data—price in APEX, pool address, and reserves—for each good. It uses a descriptive verb (returns) and identifies the resource (commodity markets), making the purpose clear. However, it does not differentiate itself from the sibling 'commodity_price' tool, so it lacks explicit sibling differentiation.

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?

There is no guidance on when to use this tool versus alternatives like 'commodity_price' or 'commodity_swap_build'. No prerequisites, conditions, or exclusions are mentioned, leaving the agent to infer the appropriate usage context.

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