start_dicom_export_job

THE RISK

High Risk

Why start_dicom_export_job needs a policy

The tool starts (initiates/triggers) a DICOM export job, which is a subprocess or async operation. This is characteristic of Execute-category tools: it runs an operation whose real-world effects depend on how the job is configured and where data flows. While not destructive by itself, misuse could export sensitive medical imaging data to unintended destinations, making it high-severity.

From the tool's definition Tool name is 'start_dicom_export_job' — a job-triggering action on AWS infrastructure. DICOM export operations involve initiating external processes/jobs whose effects depend on configuration arguments (destination, scope, filters).

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 AWS, 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 AWS — 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 AWS → Every high-risk tool this server exposes, in one view.
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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 AWS 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 AWS 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 AWS. 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 AWS MCP server (@awslabs/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every AWS tool call.

Start from AWS, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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