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BACH-AI-Tools

Seo Api2 MCP Server

credit_card_generator

Generate test credit card numbers for development, testing, and validation purposes. Specify card type and quantity to create sample data.

Instructions

Credit Card Generator

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
card_typeYesExample value:
countNoExample value: 55
Behavior1/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure but offers none. It doesn't indicate whether this generates real or test data, what format the output takes, any rate limits, security implications, or ethical considerations for credit card generation.

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?

While technically concise with just two words, this is under-specification rather than effective conciseness. The description fails to provide essential information that would help an AI agent understand and use the tool correctly.

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?

For a tool with 2 parameters, no annotations, and no output schema, the description is completely inadequate. It doesn't explain what the tool does, when to use it, what behavior to expect, or what the output format will be, leaving critical gaps for agent understanding.

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 schema already documents both parameters (card_type and count). The description adds no additional meaning about what card types are supported, what 'count' represents, or any parameter constraints beyond what's in the schema.

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 'Credit Card Generator' is a tautology that merely restates the tool name without specifying what action it performs. It doesn't indicate whether it generates valid credit card numbers, test data, or something else, nor does it distinguish this tool from its sibling 'credit_card_validator'.

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?

The description provides no guidance on when to use this tool versus alternatives like 'credit_card_validator' or other data generation tools. There's no mention of appropriate contexts, prerequisites, or exclusions for using this tool.

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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