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ExchangeRebel — pay-per-call APIs for AI agents (x402 on Solana)

recalls_product_check

Join a product identity (GTIN/UPC, model, or listing) to US CPSC + openFDA recall status: graded verdict clear | matched | probable with confidence and evidence. $0.01 per call — USDC on Solana via x402 (over MCP: call without payment to get the PaymentRequired challenge, then retry with the payment at _meta["x402/payment"]). HTTP equivalent: POST https://exchangerebel.com/toll/recalls/product-check.

Input Schema

NameRequiredDescriptionDefault
upcNo
gtinNo
brandNo
modelNo
listingNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.4/5.0
Behavior4/5

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

Goes well beyond the annotations: it discloses per-call cost ($0.01 USDC on Solana), the exact x402 payment handshake (call unpaid, receive PaymentRequired, retry with _meta["x402/payment"]), and the HTTP equivalent endpoint. This explains why readOnlyHint=false and idempotentHint=false (payment side effect) without contradicting them. It stops short of covering failure modes, e.g. what happens with conflicting or missing identifiers.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loads the purpose and verdict shape, then the payment details, then the HTTP fallback. The payment sentence is long but operationally necessary; the HTTP-equivalent line is lower value but short.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 5-param, 0%-coverage tool with an unspecified nested object and no output schema, the description covers the verdict vocabulary (clear | matched | probable, confidence, evidence) and payment flow but leaves the input contract underspecified — precedence among identifiers, brand's role, and the listing object's structure.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% with 5 undocumented parameters, and the description only names four of them (GTIN/UPC, model, listing), omitting 'brand' entirely. Critically, 'listing' is a nested object with no declared properties, and the description gives no shape or example for it, nor does it state that at least one identifier is required.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource: join a product identity (GTIN/UPC, model, listing) to US CPSC + openFDA recall status, returning a graded verdict. The product-identity scope implicitly distinguishes it from recalls_vehicle and recalls_search, but no sibling is named explicitly, so an agent must infer the boundary.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied by the input framing (product identity, not vehicle or keyword), and the payment mechanics are spelled out. However, there is no explicit when-to-use/when-not guidance and no routing statement pointing to recalls_search or recalls_vehicle for other query shapes.

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

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