start_dicom_import_job

THE RISK

High Risk

Why start_dicom_import_job needs a policy

This tool triggers execution of a job whose effects depend on arguments (which DICOM source, destination, configuration). It is not a simple Read (no query/retrieval only), not Write (imports are typically one-way operations with external system interaction), and not Destructive in the traditional sense, but Execute fits best as it initiates an operation external to the MCP server.

From the tool's definition Tool name 'start_dicom_import_job' indicates initiation of an asynchronous job that imports DICOM medical imaging data. No description provided, but the verb 'start' combined with 'job' and 'import' suggests triggering an external operation with side effects.

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

POLICY

How to control start_dicom_import_job

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

policy.json

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

start_dicom_import_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 Support 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.

RATE-LIMIT THIS TOOL →

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EXPLORE

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Govern code and CI agents → Branch allowlists, approval on merges, and rate caps on the build and pipeline tools agents trigger.
High-risk tools in AWS Support 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.
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PolicyLayer vs alternatives → How deterministic, per-call MCP policy compares with gateways, identity layers, and authorisation platforms.

FAQ

Questions about start_dicom_import_job

What does the start_dicom_import_job tool do? +

start_dicom_import_job. It is categorised as a Execute tool in the AWS Support 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_import_job? +

Register the AWS Support MCP Server MCP server in PolicyLayer and add a rule for start_dicom_import_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 Support MCP Server. Nothing to install.

What risk level is start_dicom_import_job? +

start_dicom_import_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_import_job? +

Yes. Add a rate_limit block to the start_dicom_import_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_import_job completely? +

Set action: deny in the PolicyLayer policy for start_dicom_import_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_import_job? +

start_dicom_import_job is provided by the AWS Support MCP Server MCP server (awslabs.aws-support-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 AWS Support MCP Server tool call.

Start from AWS Support 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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