Detect the language of the provided text using Amazon Translate.
AI agents call detect_language to retrieve information from Amazon SageMaker AI 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 retrieves metadata about input data without side effects. The tool does not modify state, execute arbitrary commands, delete data, or incur financial obligations. Misuse (e.g., detecting language of unexpected input) poses minimal risk.
From the tool's definition Tool name 'detect_language' and description state it 'Detect[s] the language of the provided text using Amazon Translate' — this is a query/detection operation with no modification, creation, deletion, or execution of external code.
Attacks that exploit this kind of access
Detect the language of the provided text using Amazon Translate. It is categorised as a Read tool in the Amazon SageMaker AI MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Amazon SageMaker AI 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 Amazon SageMaker AI 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 Amazon SageMaker AI MCP Server MCP server (awslabs.sagemaker-ai-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.