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minia2a-mcp

x402-validate-credit-card

Validate Credit Card: Validate credit card.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

C2/5.0
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 explaining behavior, but it only repeats 'Validate credit card.' It does not disclose the validation algorithm, accepted card networks, output format, error behavior, or whether any external call is made. The description adds no behavioral information beyond what the tool name already implies.

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 description is extremely short but achieves brevity through tautology rather than through efficient information content. It repeats the tool name and gives the agent nothing actionable. This is under-specification, not disciplined concisness.

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?

Given no annotations, no output schema, an empty input schema, and dozens of overlapping sibling tools, the description is severely incomplete. An agent cannot tell what input is expected, what output will be returned, whe validation rules are applied, or when this tool should be chosen. The definition is almost completely inadequate for correct selection and invocation.

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 input schema contains zero properties, so the schema fully documents the parameters. The baseline for 0-parameter tools is 4, and the description adds nothing necessary about parameters. The lack of any input specification is concerning overall, but not a failure specific to parameter semantics.

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 reads 'Validate Credit Card: Validate credit card,' which simply restates the tool name and adds no further meaning. It does not differentiate this tool from closely related siblings such as x402-credit-card-validate, x402-is-credit-card-valid, x402-card-validator, or x402-is-luhn. This is essentially a tautology, so the purpose is named but not genuinely clarified.

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?

The description provides no guidance on when to use this tool versus the many similar validator tools in the sibling list. There is no mention of preferred contexts, exclusions, or alternatives. An agent has no basis for choosing this tool over x402-credit-card-validate or x402-is-credit-card-valid.

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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TDQS

D1.6/5.0
Disambiguation1/5

The tool set is saturated with near-duplicates and synonyms: character-count vs char-count, clamp vs clamp-value, is-abundant vs is-abundant-num vs is-abundant-number, and fetch vs browser-scrape vs web-scrape vs text-scrape. Generic names like 'difference', 'normalize', 'range', and 'partition' make the boundaries even harder for an agent to determine.

Naming Consistency2/5

Most tools share a x402- kebab-case prefix, but the set mixes noun-only names (math, hash, prime, time), verb-first names (get_stats, find, validate), auto-generated names (x402-publish-1787853294312-base-account), and inconsistent variants like temp vs temperature vs temperature-convert. This is not a coherent verb_noun convention despite the common prefix.

Tool Count1/5

1677 tools is an extreme count that creates selection paralysis and makes coherent agent use impractical. A utility or marketplace server at this scale needs sub-services or namespacing rather than a flat tool list.

Completeness2/5

The surface has broad token coverage across many utility categories, but the marketplace aspect is incomplete: service_discovery and get_stats exist, yet there are no generic publish, update, delete, or account-management operations. Utility families also contain redundant variants without clear completion or lifecycle structure.

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