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Paid Google Merchant RSS and GTIN Quality Audit

paid_merchant_feed_audit

Audit up to 1,000 uploaded Merchant feed items or RSS XML for missing product fields, duplicate IDs, invalid GTIN/EAN checksum, pricing and variant grouping. $4.90 buyer-authorized x402 USDC; never accesses private Merchant Center or mutates feeds. Example: {input:{items:[{id:'sku1',title:'Example',description:'Example',link:'https://example.com/p',image_link:'https://example.com/p.jpg',price:'49.90 EUR',availability:'in_stock'}]}}.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "paid_merchant_feed_audit"
  }
}

Input Schema

NameRequiredDescriptionDefault
inputNoUpload items: [{id,title,description,link,image_link,price,availability,...}] (max 1000) or feed_xml RSS string (max 800 KB). No URL fetch or automatic edits.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.2/5.0
Behavior4/5

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

Adds substantial context beyond annotations: the $4.90 buyer-authorized x402 USDC cost, the 1,000-item / 800 KB caps, and the explicit no-mutation / no-private-account guarantee. Annotations already cover the safety profile (destructiveHint=false, openWorldHint=true), and the description reinforces rather than repeats them. It does not describe the shape of the audit report returned.

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 audit scope, then cost/limits, then an example — a sensible ordering. It is dense but every clause carries information; the inline JSON example is bulky but earns its place for nested input.

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?

No output schema exists, so the description carries the burden of explaining return values, and it never says what the audit report contains (per-item findings, counts, severity, format). For a paid audit tool, that omission leaves a real gap for an agent deciding whether to call it.

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

Parameters4/5

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

Schema coverage is 100%, so baseline would be 3, but the description supplies a concrete worked example of the nested item object (id, title, description, link, image_link, price, availability), which meaningfully clarifies the nested structure beyond the schema's terse field list.

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

Purpose5/5

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

States a specific verb (audit) and resource (uploaded Merchant feed items or RSS XML) plus the exact checks performed: missing fields, duplicate IDs, GTIN/EAN checksum, pricing, variant grouping. This is clearly distinguishable from sibling tools like paid_json_contract_check or paid_web_extract.

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

Usage Guidelines4/5

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

Gives clear context: up to 1,000 items or 800 KB RSS, no URL fetching, no private Merchant Center access, no feed mutation. Boundaries are stated, though it never explicitly names which sibling to use instead for adjacent tasks (e.g., general JSON validation).

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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