GetAHOReferenceImportJob
AI agents call GetAHOReferenceImportJob 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.
The 'Get' prefix in the tool name indicates a read-only operation to retrieve information about an AHO Reference Import Job. However, the empty description significantly limits confidence in this classification. Without documentation, there is some possibility this could be a different operation, but retrieval/query operations are the primary semantic meaning of 'Get' operations in AWS APIs.
From the tool's definition Tool name 'GetAHOReferenceImportJob' suggests retrieval of job status or details (indicated by 'Get' prefix). No description provided to confirm behavior.
Attacks that exploit this kind of access
GetAHOReferenceImportJob. 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 GetAHOReferenceImportJob: 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.
GetAHOReferenceImportJob 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 GetAHOReferenceImportJob 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 GetAHOReferenceImportJob. 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.
GetAHOReferenceImportJob 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.