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 the paid nature ($0.10 USDC on Base), the conditional behavior based on attached payment, the returned object shape ({ticket, resultToken, poll}), and asynchronous delivery. It doesn't cover payment attachment mechanics or failure modes, but it is substantially transparent.

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 two sentences with no filler. It front-loads the payment/cost, then the mode-dependent behavior, then the async handoff. Every sentence 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?

Despite having no output schema and no annotations, the description covers the core flow: payment requirements, ticket creation, returned keys, async nature, and the polling sibling. The only notable gap is not explaining how payment is actually attached (x402 mechanics), which is a minor omission for a paid tool.

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%, so the baseline is 3. The description adds general context about labels being CSV and context being visible to the human, but it doesn't meaningfully extend parameter semantics beyond what the schema already provides.

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 identifies a clear verb+resource: 'Pagá ... por el juicio subjetivo/cultural de una persona real', and emphasizes it is not an LLM and is specialized for Argentine context. It also differentiates from the sibling get_human_verdict by describing this tool as creating the ticket while the sibling polls for results.

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 explains the two payment modes (no payment returns x402 requirements; with payment creates the ticket) and explicitly instructs to use get_human_verdict for polling after the async response. It doesn't state formal when-not-to-use criteria, but the async handoff is clearly communicated.

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