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trigger_batch_translation

trigger_batch_translation

How to control trigger_batch_translation ↓

What trigger_batch_translation does on Amazon Data Processing MCP Server

AI agents invoke trigger_batch_translation to trigger actions in Amazon Data Processing 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.

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Why trigger_batch_translation needs a policy

The tool executes a batch translation job, which is an external operation with side effects (translation processing, resource consumption, data transformation). It does not retrieve data (Read), create/modify reversibly (Write), delete irreversibly (Destructive), or involve financial transactions (Financial). The 'trigger' verb indicates initiation of an operation whose outcome depends on arguments provided.

From the tool's definition Tool name 'trigger_batch_translation' indicates execution of a batch translation process. Description is empty, limiting clarity, but the 'trigger_' verb and batch processing context suggest the tool initiates an external operation whose effects depend on…

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

How to control trigger_batch_translation

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

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "trigger_batch_translation": {
      "limits": [
        {
          "counter": "trigger_batch_translation_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

trigger_batch_translation 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.

  1. Create a free account and register Amazon Data Processing MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about trigger_batch_translation

What does the trigger_batch_translation tool do? +

trigger_batch_translation. It is categorised as a Execute tool in the Amazon Data Processing 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 trigger_batch_translation? +

Register the Amazon Data Processing MCP Server MCP server in PolicyLayer and add a rule for trigger_batch_translation: 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 Data Processing MCP Server. Nothing to install.

What risk level is trigger_batch_translation? +

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

Can I rate-limit trigger_batch_translation? +

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

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

trigger_batch_translation is provided by the Amazon Data Processing MCP Server MCP server (awslabs.aws-dataprocessing-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 Data Processing MCP Server tool call.

Start from Amazon Data Processing 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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805 Amazon Data Processing MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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