translate_text
AI agents call translate_text as a supporting operation in Amazon SageMaker AI MCP Server workflows.
The tool name 'translate_text' suggests it performs text translation, which would typically be a Read/Execute operation with no significant side effects. However, the description is completely empty, leaving the actual behavior unknown. Given the context of an Amazon SageMaker AI MCP server and the sibling tool 'analyze_batch_translation_errors', this is likely a text translation utility.
From the tool's definition Tool name: translate_text; description is empty and uninformative.
Attacks that exploit this kind of access
translate_text. It is categorised as a Other tool in the Amazon SageMaker AI MCP Server MCP Server, which means it performs auxiliary operations.
Register the Amazon SageMaker AI MCP Server MCP server in PolicyLayer and add a rule for translate_text: 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.
translate_text 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 translate_text 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 translate_text. 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.
translate_text 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.