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MoneyTools x402 agent toolkit

A2A Agent Card validator

a2a_card_validate
Read-onlyIdempotent

Fetch /.well-known/agent-card.json (or legacy agent.json) and validate required A2A fields, skills, transport and security declarations. Free: 10 calls/day; then $0.002/call via x402 (MCP params._meta["x402/payment"] or HTTP) or X-API-Key credits. [served by tools.moneytools.dev]

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": "a2a_card_validate"
  }
}

Input Schema

NameRequiredDescriptionDefault
urlNoagent base URL or card URL
cardNoor the card JSON

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive and open-world behavior, and the description adds real context beyond that: it performs an outbound fetch of a remote well-known path, documents a free tier of 10 calls/day, the $0.002 overage price, and the two accepted payment channels (x402 _meta or X-API-Key). It stops short of saying how it behaves on an unreachable host or malformed card, though the output schema partially covers results.

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?

Front-loads the core action in one dense sentence and confines pricing to a bracketed tail, so an agent gets the essential behavior immediately. The payment-mechanics clause is somewhat dense but does carry operational information an agent may need for cost-aware routing.

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?

With an output schema present, return values need no explanation, and the description adequately covers the fetch-and-validate behavior plus cost model. The one gap is that neither parameter is required yet nothing says what happens with an empty invocation, which is a real ambiguity for a zero-required-param tool.

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 100%, with both `url` and `card` already documented as alternative inputs, so the schema does the heavy lifting. The description adds only the detail that the URL may point at the default well-known path or its legacy agent.json equivalent, which is modest added meaning. Baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource: fetches the well-known agent-card.json (or legacy agent.json) and validates required A2A fields, skills, transport and security declarations. That is clearly distinguishable from sibling validators such as json_schema_validate or llms_txt_validate, which target different artifacts.

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

Usage Guidelines3/5

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

The description implies the use case (validating an A2A agent card) but never states when to pick this over a generic validator, nor any prerequisites or exclusions. The remaining sentences cover pricing and payment mechanics rather than when-to-use guidance, so usage is only implied.

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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