apply_yaml · GreenNode MCP Server MCP: Risk & Policy

WHAT IT DOES

What apply_yaml does on GreenNode MCP Server

AI agents invoke apply_yaml to trigger actions in GreenNode 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 apply_yaml needs a policy

'apply_yaml' strongly implies applying a YAML manifest to Kubernetes or cloud infrastructure, which is an Execute-level action that can create, modify, or delete arbitrary resources depending on the manifest contents. On a Kubernetes management server, this could deploy workloads, modify RBAC, or alter network policies — making misuse potentially critical.

From the tool's definition Tool name 'apply_yaml' on a server managing Kubernetes and cloud infrastructure; description is empty and uninformative.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

apply_yaml Rate-limited

apply_yaml 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": {
    "apply_yaml": {
      "limits": [
        {
          "counter": "apply_yaml_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 GreenNode MCP Server, so you can run agents against it safely.

FAQ

Questions about apply_yaml

What does the apply_yaml tool do? +

apply_yaml. It is categorised as a Execute tool in the GreenNode 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 apply_yaml? +

Register the GreenNode MCP Server MCP server in PolicyLayer and add a rule for apply_yaml: 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 GreenNode MCP Server. Nothing to install.

What risk level is apply_yaml? +

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

Can I rate-limit apply_yaml? +

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

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

apply_yaml is provided by the GreenNode MCP Server MCP server (vngcloud/greennode-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.