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x402-credit-card-type

Credit Card Type: Credit Card Type

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cardNoCard to process
numberNoNumber to process

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / number
      Added value: +{
      +  "description": "Number to process",
      +  "type": "string"
      +}
  2. First observed

TDQS

D1.9/5.0
Behavior1/5

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, and it discloses nothing: not whether the input is validated, what a failure looks like, whether 'card' is a type hint or a number, or what the response contains. A tautological string provides zero behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The text is short but that brevity is under-specification rather than conciseness — it repeats the name verbatim and contains no usable information. There is no front-loaded statement of purpose or return value.

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 no annotations and no output schema, the description must explain what this returns (e.g., card brand/type) and how it differs from sibling validators. It does none of that, leaving an agent unable to call it correctly or confidently.

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 two parameters are formally documented ('Card to process', 'Number to process'), which sets the baseline at 3. However, those schema descriptions are themselves nearly meaningless, and the tool description adds no clarification of how 'card' and 'number' relate to each other.

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

Purpose2/5

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

The description is 'Credit Card Type: Credit Card Type' — it merely restates the tool name twice with no verb and no statement of what operation is performed (detect? classify? return network brand?). It does not distinguish this from siblings such as x402-credit-card-validate, x402-card-validator, or x402-is-credit-card.

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 when-to-use guidance, no mention of alternatives, and no conditions under which this tool should be chosen over the many card-related siblings. The name implies a lookup, but nothing in the text confirms scope or intent.

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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