Detect the language of the provided text using Amazon Translate.
AI agents call detect_language to retrieve information from Prometheus MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Language detection is a read-only operation that queries a language identification service and returns results without altering any state. It has no blast radius—misuse would only result in incorrect language identification, not data loss, unauthorized access, or financial impact.
From the tool's definition Tool performs language detection on text using Amazon Translate. The description explicitly states it 'detects' language without modification or side effects. No data is created, modified, deleted, or external operations triggered.
Documented attack patterns abuse exactly the kind of access detect_language gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Prometheus MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for detect_language:
{
"version": "1",
"default": "deny",
"tools": {
"detect_language": {}
}
}detect_language is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Detect the language of the provided text using Amazon Translate. It is categorised as a Read tool in the Prometheus MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Prometheus MCP Server MCP server in PolicyLayer and add a rule for detect_language: 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 Prometheus MCP Server. Nothing to install.
detect_language 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 detect_language 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 detect_language. 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.
detect_language is provided by the Prometheus MCP Server MCP server (awslabs.prometheus-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Prometheus 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 Prometheus MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.