AI agents call list_app_schedules to retrieve information from Amazon Translate MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool name suggests it retrieves schedule data (list operation = Read category). Despite the empty description reducing confidence, the naming convention strongly implies data retrieval rather than modification, execution, or deletion. Listed under a translation server, but the tool may be unrelated or part of a broader AWS integration. No indicators of write, execute, destructive, or financial operations.
From the tool's definition Tool name 'list_app_schedules' indicates a query/list operation. Description is empty, limiting evidence. However, the 'list' verb typically denotes retrieval without side effects.
Documented attack patterns abuse exactly the kind of access list_app_schedules 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 list_app_schedules:
{
"version": "1",
"default": "deny",
"tools": {
"list_app_schedules": {}
}
} list_app_schedules is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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list_app_schedules. It is categorised as a Read tool in the Amazon Translate MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Amazon Translate MCP Server MCP server in PolicyLayer and add a rule for list_app_schedules: 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.
list_app_schedules is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the list_app_schedules 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 list_app_schedules. 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.
list_app_schedules 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.