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ExchangeRebel — pay-per-call APIs for AI agents (x402 on Solana)

validity_check_criteria

The published criteria for the Validity Check service (payer-preflight/v1, op validity-check): the upto ceiling rules, the TIGHT window thresholds, and the pinned public test corpus identity. Read these before paying - every report is reproducible from them. - no payment required: call directly without payment (no x402 challenge; this tool is free). HTTP equivalent: GET https://exchangerebel.com/toll/validity/criteria.

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": "validity_check_criteria"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4/5.0
Behavior4/5

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

With no annotations supplied, the description carries the full burden and does meaningful work: it declares the tool is free, requires no payment or x402 challenge, and identifies the exact HTTP endpoint behind it. It also frames the content as static and reproducible, implying a read-only, idempotent call. It does not describe the response shape or size, which is a minor remaining gap.

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?

Content is front-loaded: what the document contains comes first, then when to read it, then the free/no-challenge behavior, then the HTTP equivalent. The clause 'call directly without payment (no x402 challenge; this tool is free)' restates 'no payment required' redundantly and could be tightened, but nothing else is wasted.

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?

For a zero-parameter, no-output-schema tool the description must signal what comes back, and it does by enumerating the three content areas, which is enough for an agent to know whether reading it serves the current task. It could say more about the document's format, but nothing needed to call it correctly is missing.

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?

The tool takes zero parameters, so the baseline is 4 and there is nothing further for the description to disambiguate. No parameters are described, correctly, because none exist.

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 resource: the published criteria for the Validity Check service, enumerated as upto ceiling rules, TIGHT window thresholds, and pinned test corpus identity. It is distinguishable from validity_check_validity and validity_check_precheck by being the static rules document, though the sibling relationship is only implied by 'read these before paying' rather than named explicitly.

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?

'Read these before paying' gives a clear context for use and an ordering relative to the paid checks. What is missing is any explicit exclusion or comparison naming validity_check_precheck or validity_check_upto as the alternative when the agent's goal is verification rather than reading rules.

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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