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razvangirgiz

wazap-mcp

by razvangirgiz

Get WhatsApp group info

get_group_info
Read-onlyIdempotent

Retrieve WhatsApp group details—name, owner, admins, participants, and invite link (admins only)—to verify admin rights before managing the group.

Instructions

Details of a group: name, description, owner, creation date, whether only admins may post, whether the linked account is an admin, and the participant list (up to 500; participant_count is always the true total). The invite link is included only when the linked account is an admin.

Call this before manage_group: most group actions need admin rights.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
group_idYesGroup chat id ("<id>@g.us")
account_idNoRegistry account id (default, work, …). Omit to resolve from chat_id or message_id, or the default account.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv0.15.0
    • addedInput schema / properties / account_id
      Added value: +{
      +  "description": "Registry account id (default, work, …). Omit to resolve from chat_id or message_id, or the default account.",
      +  "minLength": 1,
      +  "type": "string"
      +}
  2. First observedv0.9.3

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/non-destructive, so the bar is lower, and the description adds real traits beyond them: the participant list is capped at 500 while participant_count is the true total, and the invite link is only returned when the linked account is an admin. These conditional/truncation behaviors are genuinely useful and not derivable from the annotations.

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?

Two tight sentences: the return contents are front-loaded, followed by the conditional invite-link rule and a one-line usage note. Zero wasted text.

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?

With no output schema, the description carries the return-value burden and does so well by enumerating fields and their conditions; the read-only safety profile is covered by annotations. Nothing essential for correct invocation is missing.

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% (both group_id and account_id are documented in the schema, including the account resolution fallback), so the description adds no syntax or format detail. Baseline 3 is appropriate when the schema does the heavy lifting.

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 names a specific verb+resource ('Details of a group') and enumerates the exact fields returned (name, description, owner, creation date, admin-only posting, participant list), which an agent can use to distinguish it from manage_group or create_group without opening any schema.

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

Usage Guidelines4/5

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

It explicitly routes usage: 'Call this before manage_group: most group actions need admin rights,' giving the sequencing condition that selects this tool. It does not state explicit when-not-to-use cases, but the context is unambiguous.

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