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

With no annotations, the description must carry the full burden of behavioral disclosure. It does reveal the weekly frequency, the two query modes, and the output fields, but it omits any mention of pagination, date ranges, or market coverage limitations, leaving some behavioral aspects unclear.

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 entire description is a single well-structured sentence with parenthetical examples that compress important parameter guidance. It is front-loaded with the core function and contains no unnecessary words.

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?

The description covers the core return fields and the two invocation modes, which is good for a simple data-fetch tool. However, without an output schema and without clarifying the 'limit' parameter, some ambiguity remains for an agent attempting to call the tool correctly in all cases.

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 market parameter gains meaning through example slugs and the 'omit for the latest report' note, but the limit parameter is left undocumented in both schema and description. Since schema coverage is exactly 50% and the description partially compensates, the score is mid-range.

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 identifies the tool as a weekly CFTC Commitments of Traders data source, specifies two call modes (latest across markets vs. historical for one market), and names the fields returned (open interest, long/short by trader category). It is easily distinguished from sibling tools by the unique resource and content.

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 implies usage for CFTC positioning needs with examples of market slugs, but it never explicitly states when to prefer this tool over sibling tools or provides exclusion criteria. Agents must infer the use case from domain keywords rather than receiving explicit guidance.

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