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Paid batch AIEO catalog remediation

catalog_remediation_batch

Generate a prioritized AIEO remediation plan for 1-500 product records, optimized for machine-readable AI commerce while retaining Merchant Center/feed compatibility. Price: $5.00 USDC via x402.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "records": "<records>"
    },
    "name": "catalog_remediation_batch"
  }
}

Input Schema

NameRequiredDescriptionDefault
recordsYes
payment_signatureNoOptional x402 v2 PAYMENT-SIGNATURE value. Omit it on the first call to receive the live payment requirement; supply the signed value on the second call.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, and it does add genuinely useful context: the $5.00 USDC price and x402 payment requirement. It does not disclose what the returned plan contains, whether the call is idempotent, or any rate/payment-failure behavior beyond the price line.

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?

Two tight sentences with the value proposition front-loaded and the price/payment mechanism last. No padding, though the price sentence could be folded in more economically.

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

Completeness5/5

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

For a paid batch tool with no output schema and no annotations, the definition covers purpose, scope, compatibility goal, and the non-obvious payment flow. What an agent needs before invoking is present; return-format detail is the only real omission and is less critical here.

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

Parameters3/5

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

Schema coverage is 50%: payment_signature is fully documented in the schema, while records is only constrained by minItems/maxItems. The description's '1-500 product records' restates the schema bounds and adds that the items are product records, but it does not clarify the object shape the schema leaves open (additionalProperties: true).

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 ('Generate a prioritized AIEO remediation plan for 1-500 product records') with the distinguishing output goal (machine-readable AI commerce, feed compatibility). However it does nothing to separate this from siblings catalog_remediation and catalog_remediation_bulk — the reader cannot tell what 'batch' means here versus 'bulk.'

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

Usage Guidelines2/5

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

There is no when-to-use guidance, no stated prerequisites, and no named alternative, despite the family containing free_remediation_sample, catalog_remediation, and catalog_remediation_bulk. The 1-500 range hints at scale but never tells the agent when to pick this over the single or bulk variants.

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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