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Paid catalog feed audit

catalog_audit

Audit 1-100 ecommerce product records for duplicate IDs, GTIN/checksum issues, URL shape, price formatting, availability, and identifier consistency. Price: $0.01 USDC on Base via x402.

Input Schema

TableJSON 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

B3.3/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It does disclose a meaningful trait beyond the schema by stating the paid model ($0.01 USDC on Base via x402), and 'Audit' implies a non-destructive read. However it omits permissions, rate limits, error behavior, and what the tool actually returns.

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

Conciseness5/5

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

Two sentences, zero filler, with the check list and count limit front-loaded before the payment note. Every clause adds information an agent can act on.

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 paid tool with no output schema and no annotations, the description tells the agent cost and scope but not what the audit result contains (issue list? per-record verdict?) or what fields each record must carry. The payment flow itself is covered by the schema's payment_signature description, so the remaining gaps are moderate rather than severe.

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 documented in the schema, but the records array has no item-level description. The description partially compensates by stating 'ecommerce product records' and the 1-100 bound, but does not specify the shape or required identifiers of each record, leaving the schema gap only partly closed.

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?

The description gives a specific verb (audit) and resource (ecommerce product records), plus a concrete scope (1-100) and an enumerated list of checks (duplicate IDs, GTIN/checksum, URL shape, price formatting, availability, identifier consistency). This is clearly more specific than its siblings (gtin_check, feed_diff, catalog_remediation), though it never explicitly says how it differs from them.

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: nothing tells the agent when to pick catalog_audit over gtin_check, single_gtin_check, free_remediation_sample, or feed_diff. The only usage-adjacent content is the payment price, which is a cost fact rather than selection guidance.

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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