label · Kubernetes MCP Server MCP: Risk & Policy

WHAT IT DOES

What label does on Kubernetes MCP Server

AI agents use label 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 label needs a policy

Labeling is a metadata-modification operation that does not delete data or execute arbitrary code. It creates or updates labels on Kubernetes resources, which is a standard Write operation. Severity is medium because incorrect labels could affect resource selection by selectors/controllers, but the changes are fully reversible by relabeling or removing labels.

From the tool's definition Tool description states 'Add or update labels on a resource', which are reversible modifications to Kubernetes resource metadata. This is a mutating operation that changes existing resources.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

label Rate-limited

label 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": {
    "label": {
      "limits": [
        {
          "counter": "label_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 label

What does the label tool do? +

Add or update labels on a resource. 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 label? +

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

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

Can I rate-limit label? +

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

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

label 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.