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

No annotations are provided, so the description carries the full burden. It discloses that the tool is snapshot-based (refreshed from the flagship CommoditiesAI scan engine), informational only, and paid ($0.01 per call via x402). It also explains the grading behavior (e.g., a mid score such as -52 is reported as neutral by design) and the return of per-timeframe breakdown. This is substantial behavioral context beyond a simple 'return verdict' statement. It doesn't mention rate limits or failure modes beyond the 402 challenge, but the disclosed behaviors are rich.

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 dense but well-organized: purpose first, then grading thresholds, then snapshot/payment info, then sibling differentiation. Every sentence adds value, though the payment and grading details make it longer than strictly necessary. It is front-loaded with the core purpose and ends with the sibling comparison, which is a sensible structure. Slightly long but not bloated.

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 single-parameter tool with no output schema, the description is quite complete: it explains the verdict bands, the score range, the snapshot nature, the payment mechanism, and the difference from the sibling `pitch` tool. It doesn't describe the exact JSON response shape, but since there is no output schema, an agent might benefit from a sample response. However, the description's detail about the per-timeframe breakdown and vote counts partially compensates. Overall, it is nearly complete for the tool's complexity.

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?

Schema description coverage is 100% (the only parameter `symbol` is described as 'Yahoo continuous-futures ticker, e.g. GC=F, CL=F, ZC=F'). The description adds further examples and the covered universe (28 continuous futures across metals/energy/agriculture/livestock), which helps an agent pick valid symbols. Since the schema already covers the parameter, the description's added examples and universe context push it above the baseline 3.

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 verb ('Return the bottom/top verdict') and resource ('one commodity future'), and explicitly lists example symbols and the covered universe (28 continuous futures across metals/energy/agriculture/livestock). It also distinguishes itself from the sibling `pitch` tool by noting that `pitch` only shows the showcase symbol while this tool answers ANY symbol and returns the per-timeframe breakdown. This is a clear, specific purpose that an agent can act on.

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 explicitly says when to use this tool vs alternatives: 'The free `pitch` tool shows a live verdict for this market's showcase symbol only — this tool answers ANY symbol in the covered universe and returns the per-timeframe breakdown.' It also provides payment/retry guidance (retry with PAYMENT-SIGNATURE header on 402 challenge) and notes it is informational only. This is explicit usage guidance with alternatives and conditions.

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