create_deployment_with_resources · Kubernetes MCP Server MCP

WHAT IT DOES

What create_deployment_with_resources does on Kubernetes MCP Server

AI agents use create_deployment_with_resources 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 create_deployment_with_resources needs a policy

This tool creates a new Kubernetes deployment, which is a write operation that modifies cluster state by establishing new workloads. While deployments can be deleted (making this theoretically reversible), the primary action is creation/modification of infrastructure.

From the tool's definition Tool name: 'create_deployment_with_resources'; description: 'Create a deployment with resource limits and requests'. The verb 'create' indicates data creation.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

create_deployment_with_resources Rate-limited

create_deployment_with_resources 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": {
    "create_deployment_with_resources": {
      "limits": [
        {
          "counter": "create_deployment_with_resources_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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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 create_deployment_with_resources

What does the create_deployment_with_resources tool do? +

Create a deployment with resource limits and requests. 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 create_deployment_with_resources? +

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

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

Can I rate-limit create_deployment_with_resources? +

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

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

create_deployment_with_resources 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.