Terminate a cloud instance
AI agents call infra_terminate to permanently remove resources in ML Lab MCP — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Terminating a cloud instance is an irreversible destructive action. Once terminated, the instance and any unsaved data are permanently lost. Misuse by an AI agent could destroy active training runs, datasets stored on instance storage, and incur wasted cloud costs, making this critical severity.
From the tool's definition 'Terminate a cloud instance' — terminating a cloud instance is irreversible; all ephemeral data, running processes, and instance state are permanently destroyed.
Attacks that exploit this kind of access
Terminate a cloud instance. It is categorised as a Destructive tool in the ML Lab MCP MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the ML Lab MCP server in PolicyLayer and add a rule for infra_terminate: 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 ML Lab MCP. Nothing to install.
infra_terminate 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 infra_terminate 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 infra_terminate. 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.
infra_terminate is provided by the ML Lab MCP server (pushpullcommitpush/ml-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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