This record as markdown: /tools/delltrak-wamcp/wa-group-leave.md
What wa_group_leave does on WA MCP
AI agents invoke wa_group_leave to trigger actions in WA MCP. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why wa_group_leave is rated High
Leaving a WhatsApp group is an irreversible social action that triggers an external operation — the agent permanently removes itself (or the user) from the group. While it doesn't delete data per se, the action cannot be trivially undone (the user must be re-invited), making it more severe than a simple Write.
From the tool's definition Leave a WhatsApp group
Attacks that exploit this kind of access
The rule that runs wa_group_leave safely
PolicyLayer is an MCP gateway: it sits between your AI agents and WA MCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For wa_group_leave, this is the rule to start with:
wa_group_leave stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect WA MCP, apply this rule, and every wa_group_leave call is checked against it from then on.
Questions about wa_group_leave
Leave a WhatsApp group. It is categorised as a Execute tool in the WA MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the WA MCP server in PolicyLayer and add a rule for wa_group_leave: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches WA MCP. Nothing to install.
wa_group_leave is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the wa_group_leave rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for wa_group_leave. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
wa_group_leave is provided by the WA MCP server (delltrak/wamcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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