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BACH-AI-Tools

Whatsapp Number Validator3 MCP Server

single_validation

Check if a single phone number is registered on WhatsApp, giving a clear yes-or-no answer for individual validation.

Instructions

Checks if a given number is registered on WhatsApp.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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. It only states the core action ('checks if registered') but does not disclose return format, side effects, authentication requirements, or any limitations, leaving the agent without critical context.

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

Conciseness5/5

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

The description is a single, clear sentence that is front-loaded with the action and target. It contains no filler or unnecessary detail, making it efficiently concise.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

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 an empty input schema, the description is incomplete. It does not state what the tool returns, how to provide the number, or any other operational details, leaving the agent under-equipped to use the tool correctly.

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 has zero parameters, and schema coverage is 100% by default. The description's mention of 'a given number' adds semantic meaning about the subject of validation, which exceeds the empty schema's information, though it does not clarify how the number is supplied.

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

Purpose5/5

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

The description uses the specific verb 'Checks' and clearly identifies the resource: whether a given number is registered on WhatsApp. This distinguishes it from the sibling tool 'bulk_validation_10' by explicitly handling a single number, despite not stating 'single' explicitly.

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 guidance on when to use this tool versus the alternative bulk_validation_10. The description does not mention any prerequisites, context, or scenarios that would favor this tool over its sibling.

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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