start_dicom_export_job · Amazon SageMaker AI MCP Server MCP

WHAT IT DOES

What start_dicom_export_job does on Amazon SageMaker AI MCP Server

AI agents invoke start_dicom_export_job to trigger actions in Amazon SageMaker AI MCP Server. 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.

THE RISK

High Risk

Why start_dicom_export_job needs a policy

The tool starts an export job, which triggers a background operation that cannot be simply recalled. DICOM data constitutes sensitive Personal Health Information (PHI). While not directly destructive or financial, triggering data exports is an Execute action because it initiates external side effects (data movement) whose consequences depend on job configuration.

From the tool's definition Tool name 'start_dicom_export_job' indicates initiation of an export job for DICOM medical imaging data. The verb 'start' denotes triggering an external operation whose effects depend on arguments (the DICOM data being exported and destination).

Documented attack patterns abuse exactly the kind of access start_dicom_export_job gives an agent:

POLICY

How to control start_dicom_export_job

PolicyLayer is an MCP gateway — it sits between your AI agents and Amazon SageMaker AI MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for start_dicom_export_job:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "start_dicom_export_job": {
      "limits": [
        {
          "counter": "start_dicom_export_job_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

start_dicom_export_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.

Create a free account and register Amazon SageMaker AI MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

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EXPLORE

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High-risk tools in Amazon SageMaker AI MCP Server → Every high-risk tool this server exposes, in one view.
All high-risk MCP tools → Every high-risk tool across the catalogue, and the policy pattern that contains them.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Agent sandbox → Bounding what an agent can execute and where the boundary should sit.
Least privilege for MCP → Granting agents the minimum tool surface the task needs.
Rate Limiting MCP Tool Calls: A Practical Guide →
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FAQ

Questions about start_dicom_export_job

What does the start_dicom_export_job tool do? +

start_dicom_export_job. It is categorised as a Execute tool in the Amazon SageMaker AI MCP Server 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_dicom_export_job? +

Register the Amazon SageMaker AI MCP Server MCP server in PolicyLayer and add a rule for start_dicom_export_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 Amazon SageMaker AI MCP Server. Nothing to install.

What risk level is start_dicom_export_job? +

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

Can I rate-limit start_dicom_export_job? +

Yes. Add a rate_limit block to the start_dicom_export_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_dicom_export_job completely? +

Set action: deny in the PolicyLayer policy for start_dicom_export_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_dicom_export_job? +

start_dicom_export_job is provided by the Amazon SageMaker AI MCP Server MCP server (awslabs.sagemaker-ai-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Amazon SageMaker AI MCP Server tool call.

Start from Amazon SageMaker AI MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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