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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is known. The description adds meaningful behavioral context: it specifies the report is the legacy futures-only COT report, the data timing (as of Tuesday, published Friday), and the grouping by category. This goes beyond annotations and gives agents a clearer picture of what the data represents, though it does not discuss pagination or error handling.

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 sentences with no fluff. The main purpose is front-loaded ('Get the latest COT positioning snapshot'), and the subsequent sentence provides essential details (data type, source, timing, and cross-reference to a sibling). Every clause earns its place.

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 one optional parameter and no output schema, the description covers the core aspects: what data is returned (net positions), grouping, the report vintage, and a cross-reference to the market code. It does not describe the exact row structure or whether all rows are returned, but given the simplicity of the tool and existing annotations, the information is sufficient for an agent to call it correctly.

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 single parameter (category) is fully documented in the schema (100% coverage), so the description adds no additional semantic value beyond the schema. The listing of categories in the description is redundant with the schema's enum-like list, so the baseline score of 3 is appropriate.

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 retrieves the latest COT positioning snapshot across all tracked futures contracts, grouped by category, and specifies the data type (commercial/non-commercial net positions). It implicitly differentiates from GetCftcPositioning by referencing the market code accepted by that tool, but does not explicitly state the boundary (e.g., 'this returns all; GetCftcPositioning returns a specific market').

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 useful context (latest, weekly, categories) but does not explicitly state when to use this tool versus GetCftcPositioning or SearchCftcMarkets. The mention of 'market code accepted by GetCftcPositioning' hints at a relationship but stops short of clear routing guidance or exclusion conditions.

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