analyze_batch_translation_errors
AI agents call analyze_batch_translation_errors to retrieve information from AWS IoT SiteWise MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The name indicates this tool analyzes or inspects batch translation errors, which is a read/query operation with no apparent side effects. However, the empty description significantly limits confidence in this classification. If the tool actually executes translation operations or modifies state, it could be Execute instead.
From the tool's definition Tool name 'analyze_batch_translation_errors' suggests analysis/inspection of translation errors. No description provided to confirm behavior.
Attacks that exploit this kind of access
analyze_batch_translation_errors. It is categorised as a Read tool in the AWS IoT SiteWise MCP Server MCP Server, which means it retrieves data without modifying state.
Register the AWS IoT SiteWise MCP Server MCP server in PolicyLayer and add a rule for analyze_batch_translation_errors: 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 IoT SiteWise MCP Server. Nothing to install.
analyze_batch_translation_errors 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 analyze_batch_translation_errors 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 analyze_batch_translation_errors. 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.
analyze_batch_translation_errors is provided by the AWS IoT SiteWise MCP Server MCP server (awslabs.aws-iot-sitewise-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.