whatsapp_get_group_data
Get group data (members, name, invite link)
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| group_id | Yes | Group ID (e.g. 120363XXX@g.us) | |
| instance_id | Yes | WhatsApp instance ID |
Get group data (members, name, invite link)
| Name | Required | Description | Default |
|---|---|---|---|
| group_id | Yes | Group ID (e.g. 120363XXX@g.us) | |
| instance_id | Yes | WhatsApp instance ID |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds real value by disclosing what the response contains (members, name, invite link), but says nothing about failure modes (invalid group_id, not a participant) or that an invite link is a sensitive, shareable output.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single front-loaded clause with zero filler, and the returned fields are grouped parenthetically. It is terse to the point of under-specification, but nothing is wasted.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a two-parameter read-only getter with 100% schema coverage, rich annotations, and no output schema, the description supplies the one missing piece: what data comes back. An agent has everything needed to select and call it.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100% and both parameters (group_id with format example, instance_id) are documented in the schema itself. The description adds no additional parameter meaning, so the baseline 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Specific verb ('Get') plus resource ('group data') with the returned fields enumerated (members, name, invite link), which distinguishes it from the group-mutation siblings like whatsapp_add_group_participant and whatsapp_leave_group. It doesn't name a competing read sibling (e.g. whatsapp_get_contact_info), but no real ambiguity exists.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no explicit guidance on when to call this versus alternatives or what preconditions apply (instance must be connected, bot must be a group member). Usage is only inferable from the tool name and purpose.
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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