Return the SageMaker NotebookJobStep spec for a dry-run plan.
AI agents call get_sagemaker_notebook_job_spec 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.
This tool retrieves configuration or specification data without creating, modifying, executing, or deleting resources. It is purely informational, supporting the dry-run planning capability mentioned in the server description. The low severity reflects that accessing specification data poses minimal risk even if misused by an agent.
From the tool's definition Tool returns/queries a SageMaker NotebookJobStep spec for a dry-run plan. The verb 'return' and context of 'dry-run planning' indicate data retrieval with no side effects.
Attacks that exploit this kind of access
Return the SageMaker NotebookJobStep spec for a dry-run plan. 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 get_sagemaker_notebook_job_spec: 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.
get_sagemaker_notebook_job_spec 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 get_sagemaker_notebook_job_spec 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 get_sagemaker_notebook_job_spec. 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.
get_sagemaker_notebook_job_spec 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.
get_sagemaker_notebook_job_spec is one line of AWS Notebook Runner's registry record.
The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.
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