delete-instance

Delete a Compute Engine instance

Server Android tomdwipo/agent
Category Destructive
Risk class Critical
Parameters 00 required

What delete-instance does on Android

AI agents call delete-instance to permanently remove resources in Android — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.

Why delete-instance needs a policy

An AI agent that decides to call delete-instance doesn't hesitate, doesn't double-check, and doesn't stop at one. Whatever it removes from Android is gone — there is no undo for destructive operations.

Questions about delete-instance

What does the delete-instance tool do? +

Delete a Compute Engine instance. It is categorised as a Destructive tool in the Android MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.

How do I enforce a policy on delete-instance? +

Register the Android MCP server in PolicyLayer and add a rule for delete-instance: 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 Android. Nothing to install.

What risk level is delete-instance? +

delete-instance is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit delete-instance? +

Yes. Add a rate_limit block to the delete-instance 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.

How do I block delete-instance completely? +

Set action: deny in the PolicyLayer policy for delete-instance. 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.

What MCP server provides delete-instance? +

delete-instance is provided by the Android MCP server (tomdwipo/agent). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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