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Synthex Forge — x402 Paid Agent Services

Verify Data Validation

verify_data_validation
Read-onlyIdempotent

independently re-verify a validation record. use it rather than verify_data_freshness for validation, not freshness; an object with detail, valid.

Input Schema

NameRequiredDescriptionDefault
bodyNoThe request body the operation operates on.
sha256NoThe SHA-256 hex digest of the artifact being verified.
signatureNoThe Ed25519 signature to verify, base64-encoded.

Output Schema

NameRequiredDescriptionDefault
validYesWhether the artifact verified.
detailYesHuman-readable explanation of the verdict.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed4 schema fields changed
    • addedOutput schema / properties / detail
      Added value: +{
      +  "description": "Human-readable explanation of the verdict.",
      +  "type": "string"
      +}
    • removedOutput schema / properties / status
      Removed value: -{
      -  "type": "string"
      -}
    • addedOutput schema / properties / valid
      Added value: +{
      +  "description": "Whether the artifact verified.",
      +  "type": "boolean"
      +}
    • addedOutput schema / required
      Added value: +[
      +  "detail",
      +  "valid"
      +]
  2. Added

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so safety is not the description's burden. The word 'independently' adds a real behavioral nuance — it re-derives the result rather than trusting a prior record — but permissions, inputs required for verification, and the meaning of the trailing 'valid' flag are never explained.

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

Conciseness3/5

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

Very short and front-loaded, which is good, but the second half ('an object with detail, valid') is grammatically broken and its referent is unclear, wasting the little space it uses.

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

Completeness4/5

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

An output schema exists and annotations are rich, so the description only needs purpose plus routing, both of which it supplies. The remaining gap is that it never explains what a 'validation record' or the body payload is, leaving the agent to infer the workflow.

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 description coverage is 100%, with sha256, signature and body each documented, so the schema carries the parameter load. The description adds no parameter meaning, and its trailing phrase 'an object with detail, valid' describes a return shape, not the inputs — baseline 3 applies.

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: 'independently re-verify a validation record', and explicitly contrasts with verify_data_freshness ('for validation, not freshness'). However, 'validation record' is not defined, so it stays ambiguous against nearby siblings such as validate_data_payload or verify_status_body.

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?

Explicitly routes the agent: use this rather than verify_data_freshness when the concern is validation rather than freshness. It gives no further when-not conditions (e.g., versus validate_data_payload) but the primary alternative is named with a selecting condition.

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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