scale-deployment · Kubernetes MCP Server MCP: Risk & Policy

WHAT IT DOES

What scale-deployment does on Kubernetes MCP Server

AI agents use scale-deployment to create or update resources in Kubernetes MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Kubernetes MCP Server environment.

WHY IT NEEDS A POLICY

Why scale-deployment needs a policy

Scaling a deployment changes the number of running replicas, which is a reversible modification to cluster state. It can be undone by scaling back. However, misuse (e.g., scaling to 0) could cause service outages, making the blast radius high. It does not permanently delete resources, so Write is the most appropriate category rather than Destructive.

From the tool's definition Scale a Kubernetes deployment to a specified number of replicas

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

scale-deployment Rate-limited

scale-deployment stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "scale-deployment": {
      "limits": [
        {
          "counter": "scale-deployment_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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 scale-deployment

What does the scale-deployment tool do? +

Scale a Kubernetes deployment to a specified number of replicas. It is categorised as a Write tool in the Kubernetes MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on scale-deployment? +

Register the Kubernetes MCP Server MCP server in PolicyLayer and add a rule for scale-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 scale-deployment? +

scale-deployment is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit scale-deployment? +

Yes. Add a rate_limit block to the scale-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 scale-deployment completely? +

Set action: deny in the PolicyLayer policy for scale-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 scale-deployment? +

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