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agent-tools (x402 + MCP + A2A directory)

get_paid_verification

Read-only

Read one of your own paid verifications.

Args:
    id: Verification id.
    api_key: Optional if the Authorization header is sent.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "id": "<id>"
    },
    "name": "get_paid_verification"
  }
}

Input Schema

NameRequiredDescriptionDefault
idYesVerification id.
api_keyNoOptional if the Authorization header is sent.

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / properties / api_key / description
      Added value: +"Optional if the Authorization header is sent."
    • addedInput schema / properties / id / description
      Added value: +"Verification id."
  2. Added

TDQS

B3.1/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds one genuinely useful behavioral detail not in the annotations: the verification must belong to the caller ('your own'), plus the api_key/Authorization alternative. It says nothing about pagination, error behavior on a non-owned id, or return shape, though an output schema exists.

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?

The first sentence is well-formed and front-loaded. The trailing Args block duplicates the input schema field-for-field and earns nothing, making the description larger than necessary.

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 simple read-one lookup with an output schema and read-only annotations, an agent has enough to invoke it. What is missing is how to obtain a valid id (presumably from prepare_paid_verification) and what happens if the id belongs to another user – a real gap given the 'your own' scoping promise.

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%, so both parameters are already documented in the schema, and the description's Args block merely repeats those descriptions verbatim. Baseline 3 applies since the schema does all the work and the description adds no format or id-acquisition detail.

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 ('Read one of your own paid verifications'), which clearly distinguishes it from the prepare_paid_verification and execute_paid_verification siblings. However it does not explicitly name those alternatives, so it stops short of full sibling differentiation.

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 guidance on when to retrieve a verification versus when to use prepare_ or execute_paid_verification, nor any prerequisite stated beyond the auth note. The 'your own' phrasing implies a scope constraint but the agent must infer the rest.

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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