Detect the language of the provided text using Amazon Translate. Returns the detected language with confidence score and alternative language candidates.
AI agents call detect_language to retrieve information from AWS without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool performs language detection analysis on provided text and returns results. There are no side effects, data modifications, code execution, deletions, or financial implications. It is purely informational/analytical, fitting the Read category for retrieval and query operations.
From the tool's definition Tool description states it 'Detect[s] the language of the provided text' and 'Returns the detected language with confidence score and alternative language candidates.' This is a query operation that analyzes input without modifying or creating data.
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 AWS, 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. Returns the detected language with confidence score and alternative language candidates. It is categorised as a Read tool in the AWS MCP Server, which means it retrieves data without modifying state.
Register the AWS 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 AWS. 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 AWS MCP server (@awslabs/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from AWS, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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300 AWS tools catalogued and risk-classified — across an index of 43,000+ MCP servers.