AI agents invoke start_batch_translation to trigger actions in AWS API 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 tool initiates a translation batch operation, which executes an external process (AWS Translate) whose outcome depends on arguments (source/target languages, content). This is an Execute action—it performs work on external systems. Severity is medium because translation jobs consume resources and may incur costs, but do not permanently delete data or move money directly.
From the tool's definition Tool name 'start_batch_translation' indicates triggering a batch translation job, which executes an AWS operation with external effects. Description is empty, reducing specificity.
Documented attack patterns abuse exactly the kind of access start_batch_translation gives an agent:
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 start_batch_translation:
{
"version": "1",
"default": "deny",
"tools": {
"start_batch_translation": {
"limits": [
{
"counter": "start_batch_translation_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} start_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.
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start_batch_translation. 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.
Register the AWS API MCP Server MCP server in PolicyLayer and add a rule for start_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 AWS API MCP Server. Nothing to install.
start_batch_translation is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the start_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.
Set action: deny in the PolicyLayer policy for start_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.
start_batch_translation 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.
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.
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805 AWS API MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.