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me_purchase_execute

Execute an existing advanced generic x402/MPP purchase challenge. Human Verify normally uses a standard PAYMENT-SIGNATURE retry to its public HTTP endpoint instead.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
requestYes
agent_idNo
authorizationYes
purchase_tokenYes
payment_session_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.7/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It indicates the challenge already exists and that this tool executes it, but it does not disclose side effects, authorization requirements, error behavior, or what happens after execution. For a purchase-execution action this is a significant transparency 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?

The description is compact at two sentences with no filler. However, the heavy use of jargon ('x402/MPP', 'PAYMENT-SIGNATURE retry') and the abrupt shift to the Human Verify alternative reduce structural clarity, though not enough to make it bloated.

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

Completeness1/5

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

With five parameters, a nested request object, no output schema, no annotations, and no parameter descriptions, the tool needs substantially more context to be invocable correctly. The description explains neither the required inputs, the return value, prerequisites, nor the execution flow, making it inadequate for safe use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description provides no explanation of payment_session_id, authorization, request, purchase_token, or agent_id. The tool name and description do not compensate for the complete lack of parameter documentation, leaving an agent to guess the meaning and format of every field.

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 uses a specific verb ('Execute') and resource ('an existing advanced generic x402/MPP purchase challenge'), so the core action is identifiable. It also gestures at a distinction from the Human Verify standard retry path, though it does not name a sibling tool and relies on unexplained protocol jargon.

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 second sentence gives a partial alternative: 'Human Verify normally uses a standard PAYMENT-SIGNATURE retry to its public HTTP endpoint instead.' This implies a when-not-to-use condition, but it never explicitly states when this tool should be chosen, nor does it name the alternative tool or provide decision criteria.

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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