AI agents call delete_export to permanently remove resources in Vultr MCP — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
The 'delete' action is explicitly destructive and cannot be undone. Deleting an export from a storage gateway removes access to exported data and the export configuration itself. This falls squarely into the Destructive category (irreversibly deletes data/configuration).
From the tool's definition Tool name contains 'delete' and description states 'Delete an export from a storage gateway' — this is an irreversible deletion operation that removes data/configuration from cloud infrastructure.
Documented attack patterns abuse exactly the kind of access delete_export gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Vultr MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for delete_export:
{
"version": "1",
"default": "deny",
"hide": [
"delete_export"
]
}delete_export 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 an export from a storage gateway. It is categorised as a Destructive tool in the Vultr MCP MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Vultr MCP server in PolicyLayer and add a rule for delete_export: 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 Vultr MCP. Nothing to install.
delete_export 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_export 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_export. 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_export is provided by the Vultr MCP server (rsp2k/mcp-vultr). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Vultr MCP, 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.
284 Vultr MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.