delete_pod

Delete a pod

Server Kubernetes MCP Server surukanti/k8s-mcp-server
Category Destructive
Risk class Critical
Parameters 00 required

What delete_pod does on Kubernetes MCP Server

AI agents call delete_pod to permanently remove resources in Kubernetes MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.

Why delete_pod needs a policy

Deletion of pods in Kubernetes is an irreversible operation that terminates running containers and removes the resource state. While not directly financial or involving arbitrary code execution, it causes immediate service disruption and data loss if the pod holds state. In a Kubernetes environment, deleting pods can cascade into broader cluster instability.

From the tool's definition Tool name 'delete_pod' and description 'Delete a pod' — the verb 'delete' combined with irreversible removal of a Kubernetes pod resource.

Questions about delete_pod

What does the delete_pod tool do? +

Delete a pod. It is categorised as a Destructive tool in the Kubernetes MCP Server 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_pod? +

Register the Kubernetes MCP Server MCP server in PolicyLayer and add a rule for delete_pod: 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 Kubernetes MCP Server. Nothing to install.

What risk level is delete_pod? +

delete_pod 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_pod? +

Yes. Add a rate_limit block to the delete_pod 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_pod completely? +

Set action: deny in the PolicyLayer policy for delete_pod. 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_pod? +

delete_pod is provided by the Kubernetes MCP Server MCP server (surukanti/k8s-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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