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BACH-AI-Tools

Seo Api2 MCP Server

credit_card_validator

Validate credit card numbers to ensure correct format and check for potential errors in payment processing systems.

Instructions

Credit Card Validator

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ccnumberYesExample value: 41111111111111114111111111111111
card_typeNoExample value:
Behavior1/5

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

With no annotations provided, the description carries full burden for behavioral disclosure but offers none. It doesn't mention whether this is a read-only operation, what validation rules it applies, what happens with invalid inputs, or what the output format might be. The description provides zero behavioral context beyond the tool name.

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 three words, this is under-specification rather than effective conciseness. The description doesn't front-load essential information and fails to communicate the tool's function beyond its name. Every sentence should earn its place, but this single phrase doesn't provide meaningful content.

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 validation tool with 2 parameters, no annotations, and no output schema, the description is completely inadequate. It doesn't explain what validation occurs, what constitutes success/failure, what the tool returns, or how to interpret results. Given the complexity of credit card validation and lack of structured data, this description fails to provide necessary context.

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 with examples. The description adds no additional meaning about what 'ccnumber' represents beyond being a credit card number or what 'card_type' might be used for. The baseline score of 3 reflects adequate schema coverage despite the description adding no value.

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 Validator' is a tautology that merely restates the tool name without specifying what action it performs. It doesn't mention validation logic, what constitutes valid/invalid cards, or what resource it operates on. Compared to sibling tools like 'credit_card_generator' which clearly indicates generation, this description fails to distinguish its purpose.

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. It doesn't mention use cases, prerequisites, or comparisons with sibling tools like 'credit_card_generator'. There's no indication of whether this validates format, Luhn algorithm, issuer identification, or other aspects of credit cards.

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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