rollback_deployment · Kubernetes MCP Server MCP

WHAT IT DOES

What rollback_deployment does on Kubernetes MCP Server

AI agents invoke rollback_deployment to trigger actions in Kubernetes MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why rollback_deployment needs a policy

Rolling back a deployment is a significant operational action that changes which revision of a workload is actively running in a Kubernetes cluster. It is not a simple data write (it triggers orchestration and pod restarts), nor is it purely destructive (the current revision isn't permanently deleted).

From the tool's definition 'Rollback a deployment to a specific revision' — triggers an external Kubernetes operation that changes the running state of a deployment

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

rollback_deployment Rate-limited

rollback_deployment stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "rollback_deployment": {
      "limits": [
        {
          "counter": "rollback_deployment_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Kubernetes MCP Server, so you can run agents against it safely.

FAQ

Questions about rollback_deployment

What does the rollback_deployment tool do? +

Rollback a deployment to a specific revision. It is categorised as a Execute tool in the Kubernetes MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on rollback_deployment? +

Register the Kubernetes MCP Server MCP server in PolicyLayer and add a rule for rollback_deployment: 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 rollback_deployment? +

rollback_deployment is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit rollback_deployment? +

Yes. Add a rate_limit block to the rollback_deployment 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 rollback_deployment completely? +

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

rollback_deployment 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.