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

With no annotations, the description carries the full disclosure burden. It provides useful behavioral context: coverage of 31 commodities across multiple categories, return value (current price and 24-hour change percentage), and free/paid tier limitations. It does not explicitly state read-only status or rate limits, but the monitoring nature implies read-only, and the tier details add transparency beyond a minimal description.

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 well-structured and front-loaded with the core purpose. It lists commodity categories in a clear, parseable format without unnecessary verbosity. Every sentence provides useful information: the main function, the coverage, the output, and tier constraints. It is concise given the breadth of information conveyed.

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 no output schema, the description effectively explains what the user can expect: current price and 24-hour change percentage. It also covers tier limitations and the full commodity list. It lacks details like data source or update frequency, but these are not essential for basic invocation and are compensated by the clear output description.

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, and the schema is empty. The baseline for 0 parameters is 4. The description adds meaning by explaining that all commodities are tracked without needing a parameter, clarifying that the tool returns global data for a fixed set of commodities. No further parameter documentation is necessary.

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 the tool monitors real-time commodity prices and price volatility, with an explicit resource list of 31 commodities. It distinguishes itself from sibling tools like get_commodity_volatility_alerts by specifying the return of current price and 24-hour change percentage, making the purpose specific and non-overlapping.

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?

The description gives a clear context ('for supply chain cost management') but does not explicitly state when to use this tool versus alternatives. There is no mention of when not to use it or how it compares to related tools such as get_commodity_volatility_alerts. The use case is implied rather than explicitly differentiated.

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