start_ec2_smoke_run · AWS Notebook Runner MCP: Risk & Policy

WHAT IT DOES

What start_ec2_smoke_run does on AWS Notebook Runner MCP

AI agents invoke start_ec2_smoke_run to trigger actions in AWS Notebook Runner MCP. 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 start_ec2_smoke_run needs a policy

This tool executes code (Jupyter notebooks) on remote cloud infrastructure, which is inherently Execute-category behavior. While it includes safeguards ('guarded', 'dry-run planning' available via sibling tools, 'automatic cleanup'), the core action is triggering external computation whose effects depend on notebook contents.

From the tool's definition Starts a paid EC2 instance ('Start a guarded paid EC2+SSM smoke run'), executes notebook code on it via SSM (Systems Manager), and terminates the instance ('terminate the instance after completion').

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

start_ec2_smoke_run Rate-limited

start_ec2_smoke_run 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": {
    "start_ec2_smoke_run": {
      "limits": [
        {
          "counter": "start_ec2_smoke_run_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 AWS Notebook Runner MCP, so you can run agents against it safely.

FAQ

Questions about start_ec2_smoke_run

What does the start_ec2_smoke_run tool do? +

Start a guarded paid EC2+SSM smoke run and terminate the instance after completion. It is categorised as a Execute tool in the AWS Notebook Runner MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on start_ec2_smoke_run? +

Register the AWS Notebook Runner MCP server in PolicyLayer and add a rule for start_ec2_smoke_run: 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 AWS Notebook Runner MCP. Nothing to install.

What risk level is start_ec2_smoke_run? +

start_ec2_smoke_run is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit start_ec2_smoke_run? +

Yes. Add a rate_limit block to the start_ec2_smoke_run 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 start_ec2_smoke_run completely? +

Set action: deny in the PolicyLayer policy for start_ec2_smoke_run. 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 start_ec2_smoke_run? +

start_ec2_smoke_run is provided by the AWS Notebook Runner MCP server (yummytastycode/aws-notebook-runner-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.