Build a dry-run EC2+SSM notebook smoke-run plan; does not launch EC2.
AI agents call plan_ec2_smoke_run to retrieve information from AWS Notebook Runner MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool explicitly states it performs a dry-run and does NOT launch EC2 instances. It only builds/generates a plan, making it a read/planning operation with no side effects or resource provisioning.
From the tool's definition Build a dry-run EC2+SSM notebook smoke-run plan; does not launch EC2.
Attacks that exploit this kind of access
Build a dry-run EC2+SSM notebook smoke-run plan; does not launch EC2. It is categorised as a Read tool in the AWS Notebook Runner MCP MCP Server, which means it retrieves data without modifying state.
Register the AWS Notebook Runner MCP server in PolicyLayer and add a rule for plan_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.
plan_ec2_smoke_run is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the plan_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.
Set action: deny in the PolicyLayer policy for plan_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.
plan_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.
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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