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wsapi-chat

WSAPI WhatsApp MCP Server

whatsapp_check_user

Read-only

Check whether a phone number is registered on WhatsApp before sending messages. Provide the number with country code, digits only, and get registration status plus user JID.

Instructions

Check whether one phone number has WhatsApp, before sending to it. Read-only. Pass the number with country code, digits only. Returns whether it is registered and its user JID. For many numbers at once, use whatsapp_bulk_check_users.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
phoneYesPhone number (e.g. 1234567890)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv2.0.0

TDQS

A4.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so safety profile is covered; 'Read-only' is redundant but consistent. The description adds real value beyond annotations by disclosing the return semantics (registration status and user JID), which matters since there is no output schema.

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?

Three short sentences, zero waste, with the primary action and the alternative routing both front-loaded. Nothing is padded or repeated.

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

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-parameter read tool with no output schema, the description covers purpose, precondition, input format, return values, and the alternative tool. Nothing an agent needs to call it correctly is missing.

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?

Schema description coverage is 100%, so baseline is 3, but the description adds a formatting constraint not present in the schema: pass the number with country code, digits only. The schema's example (1234567890) does not convey the country-code requirement, so this is genuine added meaning.

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?

States a specific verb and resource ('Check whether one phone number has WhatsApp') and explicitly scopes it to a single number, distinguishing it from the bulk sibling. An agent can tell it apart from whatsapp_bulk_check_users without opening either schema.

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

Usage Guidelines5/5

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

Gives the trigger context ('before sending to it') and names the alternative with its selecting condition ('For many numbers at once, use whatsapp_bulk_check_users'). Both when-to-use and when-to-use-something-else are covered.

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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