AI agents call delete-user to permanently remove resources in GoHighLevel MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
User deletion is a destructive operation that permanently removes an account and likely associated data. This represents a high blast radius if an AI agent mistakenly deletes a user, especially in a business management platform like GoHighLevel where users may represent team members, clients, or account holders. While not financial, the irreversible nature and impact on business operations justify 'high' severity.
From the tool's definition Tool name 'delete-user' with description 'Delete User' indicates irreversible deletion of a user account or user record. The 'delete' action is explicitly destructive and cannot be undone.
Documented attack patterns abuse exactly the kind of access delete-user gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and GoHighLevel MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for delete-user:
{
"version": "1",
"default": "deny",
"hide": [
"delete-user"
]
} delete-user disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.
Free to start. No card required.
Delete User. It is categorised as a Destructive tool in the GoHighLevel MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the GoHighLevel MCP Server MCP server in PolicyLayer and add a rule for delete-user: 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 GoHighLevel MCP Server. Nothing to install.
delete-user is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the delete-user 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 delete-user. 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.
delete-user is provided by the GoHighLevel MCP Server MCP server (drausal/gohighlevel-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from GoHighLevel MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
406 GoHighLevel MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.