Start a guarded paid EC2+SSM smoke run and return immediately with run ids.
AI agents invoke start_ec2_smoke_run_async 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.
This tool executes arbitrary notebook code on AWS EC2 instances, which is a form of Execute: it runs code whose effects depend on notebook contents and incurs financial costs (marked 'paid'). While Financial considerations exist (cost implications), the primary capability is code execution on remote infrastructure.
From the tool's definition Tool description states 'Start a guarded paid EC2+SSM smoke run' — actively launches cloud compute infrastructure.
Attacks that exploit this kind of access
Start a guarded paid EC2+SSM smoke run and return immediately with run ids. 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.
Register the AWS Notebook Runner MCP server in PolicyLayer and add a rule for start_ec2_smoke_run_async: 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.
start_ec2_smoke_run_async is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the start_ec2_smoke_run_async 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.
Set action: deny in the PolicyLayer policy for start_ec2_smoke_run_async. 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.
start_ec2_smoke_run_async 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.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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