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Synthex Forge — x402 Paid Agent Services

Verify Data Freshness

verify_data_freshness
Read-onlyIdempotent

independently re-verify a freshness assessment. use it rather than verify_data_validation for freshness, not validation; 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 this as read-only, idempotent, non-destructive, and closed-world, so the safety profile is covered. The description adds that the tool 'independently' re-verifies and returns an object with detail/valid, but it does not explain what independence means operationally or what failure conditions look like.

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?

The description is short and front-loads the primary purpose and the main alternative. The sentence structure is slightly awkward, especially the fragment 'an object with detail, valid,' but overall it is not verbose.

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?

The tool has an output schema and full schema description coverage, so return values need not be explained. However, the body parameter is a generic nested object and the description does not clarify what a freshness assessment should contain or how body, sha256, and signature relate. That leaves a meaningful gap for correct invocation.

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%, so the parameter-level documentation is already handled by the schema. The description adds no details about the body, sha256, or signature parameters, so it meets the baseline but does not enhance parameter semantics.

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 states a specific action and resource: 'independently re-verify a freshness assessment.' It also explicitly distinguishes the tool from `verify_data_validation`, which helps an agent choose correctly. It loses a point because 'freshness assessment' remains somewhat vague and the trailing 'an object with detail, valid' is unclear.

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?

The description gives explicit guidance to use this tool rather than `verify_data_validation` when the subject is freshness, not validation. That is clear routing guidance. It does not mention when to prefer `get_data_freshness` instead, so it is not fully complete.

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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