AI agents call delete_user to permanently remove resources in Document Loader 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 action that cannot be undone without administrative recovery. Even with minimal context due to empty description, the name 'delete_user' clearly falls into the Destructive category (irreversibly deletes data). This poses significant risk if an AI agent invokes it without proper authorization or context.
From the tool's definition Tool name is 'delete_user' with an empty description. The name unambiguously indicates irreversible deletion of a user identity.
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 Document Loader 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.
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delete_user. It is categorised as a Destructive tool in the Document Loader MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Document Loader 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 Document Loader 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 Document Loader MCP Server MCP server (awslabs.document-loader-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Document Loader 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.
805 Document Loader MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.