AI agents call schedule_stop_application as a supporting operation in Amazon Translate MCP Server workflows.
With an empty description, it's unclear what this tool does. The name 'schedule_stop_application' suggests scheduling a stop of some application, which could be an Execute or even Destructive action, but in the context of Amazon Translate it may refer to stopping a batch translation job.
From the tool's definition Tool name is 'schedule_stop_application' but the description is empty and uninformative. The tool name does not clearly relate to Amazon Translate's core functions (translation, terminology management, batch processing).
Documented attack patterns abuse exactly the kind of access schedule_stop_application gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Amazon Translate MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for schedule_stop_application:
{
"version": "1",
"default": "deny",
"tools": {
"schedule_stop_application": {
"limits": [
{
"counter": "schedule_stop_application_rate",
"window": "minute",
"max": 60,
"scope": "grant"
}
]
}
}
} schedule_stop_application gets a rate cap, and everything else on the server is denied unless you say otherwise.
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schedule_stop_application. It is categorised as a Other tool in the Amazon Translate MCP Server MCP Server, which means it performs auxiliary operations.
Register the Amazon Translate MCP Server MCP server in PolicyLayer and add a rule for schedule_stop_application: 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 Translate MCP Server. Nothing to install.
schedule_stop_application is a Other tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the schedule_stop_application 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 schedule_stop_application. 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.
schedule_stop_application is provided by the Amazon Translate MCP Server MCP server (awslabs.amazon-translate-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Amazon Translate 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 Translate MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.