rollout_restart_deployment · K8s MCP: Risk & Policy

WHAT IT DOES

What rollout_restart_deployment does on K8s MCP

AI agents invoke rollout_restart_deployment to trigger actions in K8s MCP. 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 rollout_restart_deployment needs a policy

A rollout restart causes Kubernetes to terminate and recreate pods in a deployment, which can disrupt running services and applications. While reversible and not permanently destructive, it executes infrastructure-level operations with real-world side effects. An AI agent misusing this tool could restart critical production deployments, causing service outages and data loss (if stateless).

From the tool's definition Tool triggers a 'rollout restart for a deployment', which executes an external operation (Kubernetes deployment restart) whose effects depend on which deployment is targeted.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

rollout_restart_deployment Rate-limited

rollout_restart_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": {
    "rollout_restart_deployment": {
      "limits": [
        {
          "counter": "rollout_restart_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 K8s MCP, so you can run agents against it safely.

FAQ

Questions about rollout_restart_deployment

What does the rollout_restart_deployment tool do? +

Trigger a rollout restart for a deployment. It is categorised as a Execute tool in the K8s MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on rollout_restart_deployment? +

Register the K8s MCP server in PolicyLayer and add a rule for rollout_restart_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 K8s MCP. Nothing to install.

What risk level is rollout_restart_deployment? +

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

Can I rate-limit rollout_restart_deployment? +

Yes. Add a rate_limit block to the rollout_restart_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 rollout_restart_deployment completely? +

Set action: deny in the PolicyLayer policy for rollout_restart_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 rollout_restart_deployment? +

rollout_restart_deployment is provided by the K8s MCP server (rahul007-bit/k8s-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.