scale_replicaset · Kubernetes MCP Server MCP: Risk & Policy

WHAT IT DOES

What scale_replicaset does on Kubernetes MCP Server

AI agents invoke scale_replicaset 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 scale_replicaset needs a policy

Scaling a ReplicaSet is an operational action that changes the number of active pod replicas in a Kubernetes cluster. While not destructive (replicas can be scaled back up) or financial, it executes a command that modifies infrastructure state and can cause cascading effects—reducing replicas could interrupt service availability, while increasing replicas consumes resources.

From the tool's definition Tool name 'scale_replicaset' and description 'Scale a ReplicaSet to a specific number of replicas' indicate this performs a container orchestration operation that alters running workloads.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

scale_replicaset Rate-limited

scale_replicaset 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": {
    "scale_replicaset": {
      "limits": [
        {
          "counter": "scale_replicaset_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 scale_replicaset

What does the scale_replicaset tool do? +

Scale a ReplicaSet to a specific number of replicas. 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 scale_replicaset? +

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

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

Can I rate-limit scale_replicaset? +

Yes. Add a rate_limit block to the scale_replicaset 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_replicaset completely? +

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

scale_replicaset 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.