Skip to main content
Glama

minia2a-mcp

x402-is-credit-card

Is Credit Card: Is Credit Card

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

D1.5/5.0
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 disclosing behavior. The description discloses nothing — it is a restatement of the name. An agent cannot tell whether this tool reads from context, performs a network call, returns a boolean, or throws on invalid input.

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

Conciseness1/5

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

This is not concise writing; it is redundant repetition. 'Is Credit Card: Is Credit Card' duplicates the name with no information content. The structure mirrors the title rather than adding any value, so every word is wasted.

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, no output schema, and a tautological description, the definition is completely inadequate. The agent cannot determine the input mechanism (0 declared params but the name implies a card number must come from somewhere), the return value, error behavior, or how this differs from x402-is-credit-card-valid, x402-credit-card-validate, and x402-card-validator.

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 tool has 0 parameters and an empty input schema, so there is nothing for the description to document. The baseline of 4 for zero-parameter tools applies; the description does not mislead about parameters and the schema fully covers the (nonexistent) parameter surface.

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

Purpose1/5

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

The description is 'Is Credit Card: Is Credit Card' — a pure tautology that restates the tool name. It provides no verb, no resource description, and no explanation of what the tool actually does (check validity? detect type? check a specific card brand?). With over a dozen credit-card-related siblings (x402-card-validator, x402-credit-card-type, x402-credit-card-validate, x402-is-credit-card-valid, x402-validate-credit-card), an agent cannot distinguish this tool from its alternatives.

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

Usage Guidelines1/5

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

No guidance whatsoever about when to use this tool versus closely related siblings. There is no stated input expectation, no condition for selection, and no mention of alternatives. Given the dense cluster of similar credit-card and validation tools, an agent has no basis for choosing this one.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

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.

Resources