start_sagemaker_notebook_job · AWS Notebook Runner MCP

WHAT IT DOES

What start_sagemaker_notebook_job does on AWS Notebook Runner MCP

AI agents invoke start_sagemaker_notebook_job 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_sagemaker_notebook_job needs a policy

Although financial cost is a consequence, the primary action is launching code execution on AWS SageMaker, which is an Execute operation. The tool's guardrail ('only when policy and token allow it') suggests controls are in place, but misuse could still run malicious notebook code.

From the tool's definition 'Start paid SageMaker notebook execution' — the tool triggers execution of arbitrary notebook code on AWS infrastructure. Keywords: 'Start', 'execution', and 'paid' indicate it launches compute jobs that run user-supplied code with associated costs.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

start_sagemaker_notebook_job Rate-limited

start_sagemaker_notebook_job 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_sagemaker_notebook_job": {
      "limits": [
        {
          "counter": "start_sagemaker_notebook_job_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_sagemaker_notebook_job

What does the start_sagemaker_notebook_job tool do? +

Start paid SageMaker notebook execution only when policy and token allow it. 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_sagemaker_notebook_job? +

Register the AWS Notebook Runner MCP server in PolicyLayer and add a rule for start_sagemaker_notebook_job: 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_sagemaker_notebook_job? +

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

Can I rate-limit start_sagemaker_notebook_job? +

Yes. Add a rate_limit block to the start_sagemaker_notebook_job 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_sagemaker_notebook_job completely? +

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

start_sagemaker_notebook_job 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.