Skip to main content
Glama
Eyalm321
by Eyalm321

zernio_approve_whatsapp_group_join_requests

Approve pending join requests for a WhatsApp group to manage membership efficiently.

Instructions

Approve pending join requests for a WhatsApp Group.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
groupIdYesThe WhatsApp Group ID
accountIdYesThe WhatsApp Business account ID
requestIdsYesList of join request IDs to approve
Behavior2/5

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

With no annotations, the description must fully describe behavioral traits. It only says 'approve', which implies a write operation, but does not disclose side effects (e.g., what happens to the group after approval, whether the action is reversible, permission requirements, or error handling). The description lacks critical transparency for an agent to use correctly.

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 sentence with no unnecessary words. It is appropriately sized for the tool's simplicity.

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?

Given no output schema, the description should explain what the response contains (e.g., success confirmation, list of approved IDs). It also should mention that requestIds come from 'list_whatsapp_group_join_requests'. The description is too brief for a mutation tool with an array parameter.

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 coverage is 100%—each parameter has a description in the schema. The description adds no extra meaning beyond what the schema provides. Baseline is 3, and the description does not compensate for any missing information.

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 clearly states the action: 'Approve pending join requests for a WhatsApp Group.' It uses a specific verb and resource, and distinguishes the tool from sibling tools like 'reject_whatsapp_group_join_requests' or 'list_whatsapp_group_join_requests'.

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?

No guidance is provided on when to use this tool versus alternatives. For example, the agent is not informed that it should first list pending requests using 'list_whatsapp_group_join_requests' to obtain the request IDs. There are no prerequisites or exclusions mentioned.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Eyalm321/zernio-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server