managed_batch_translation_workflow

THE RISK

High Risk

Why managed_batch_translation_workflow needs a policy

The name suggests a managed batch translation workflow, likely triggering an AWS batch translation job (e.g., Amazon Translate). This implies executing an external operation/workflow. Without a description, confidence is reduced, but 'managed workflow' implies triggering/executing a process with potentially significant resource usage.

From the tool's definition Tool name 'managed_batch_translation_workflow' — no description provided.

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

POLICY

How to control managed_batch_translation_workflow

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

policy.json

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

managed_batch_translation_workflow 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 API 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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Go deeper

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High-risk tools in AWS API 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.
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PolicyLayer vs alternatives → How deterministic, per-call MCP policy compares with gateways, identity layers, and authorisation platforms.

FAQ

Questions about managed_batch_translation_workflow

What does the managed_batch_translation_workflow tool do? +

managed_batch_translation_workflow. It is categorised as a Execute tool in the AWS API 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 managed_batch_translation_workflow? +

Register the AWS API MCP Server MCP server in PolicyLayer and add a rule for managed_batch_translation_workflow: 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 API MCP Server. Nothing to install.

What risk level is managed_batch_translation_workflow? +

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

Can I rate-limit managed_batch_translation_workflow? +

Yes. Add a rate_limit block to the managed_batch_translation_workflow 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 managed_batch_translation_workflow completely? +

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

managed_batch_translation_workflow is provided by the AWS API MCP Server MCP server (awslabs.aws-api-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 API MCP Server tool call.

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

CHECK YOUR STACK →