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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds valuable behavioral context by noting the data is 'delayed aggregate positions' and explicitly disclaiming that it is 'not a trade signal or recommendation,' which goes beyond what annotations provide and helps set expectations about the data's nature.

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 well-structured: the first sentence captures the core function, the second enumerates the data fields, and the third provides usage examples and a behavioral disclaimer. Every sentence earns its place with no redundancy or fluff, and the most important scoping information ('latest', 'one contract market') 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 simple read-only tool with only two parameters alert, the description is nearly complete. It describes the output contents (open interest, positions, percentages, dates, ids, provenance) and includes usage exampleship. There is no output schema, so the field enumeration is valuable. Minor gaps include not specifying error behavior or how to handle ambiguous market names, but the schema already advises searching first, so the overall context is adequate.

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 schema covers both parameters fully (100% coverage): 'market' has a clear description and 'response_format' is an enum with defaults. The description itself does not add substantive parameter-level detail beyond what the schema already provides; it mainly gives usage examples rather than explaining parameter semantics. Baseline 3 is appropriate since schema coverage is high.

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 states a specific action ('Return'), a distinct resource ('latest available official CFTC COT position snapshot for one contract market'), and a clear scope ('across every hosted report family and scope'). It also lists the included data fields, making the tool's function unambiguous and distinguishing it from siblings like cftc_cot_history or cftc_cot_compare without needing to open any schema.

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 provides explicit usage examples ('latest managed-money positioning in crude oil', 'current COT categories for gold') that clearly indicate when to use this tool. It does not explicitly state when not to use it or name alternatives, but the emphasis on 'latest' and 'one contract market' implies boundaries against historical or comparative tools, providing clear context without exclusions.

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