GetAHOReadSetImportJob
AI agents call GetAHOReadSetImportJob 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' naming pattern and context of 'ImportJob' status retrieval indicates a read operation that queries existing data. However, confidence is moderate because the description is empty and 'AHO' (likely AWS Health Omics) involves sensitive genomic data, elevating severity to medium due to potential data sensitivity rather than operation scope.
From the tool's definition Tool name 'GetAHOReadSetImportJob' uses the 'Get' prefix, which conventionally retrieves data without side effects. 'AHOReadSet' appears to be a data retrieval concept in SageMaker's bioinformatics domain.
Attacks that exploit this kind of access
GetAHOReadSetImportJob. 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 GetAHOReadSetImportJob: 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.
GetAHOReadSetImportJob 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 GetAHOReadSetImportJob 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 GetAHOReadSetImportJob. 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.
GetAHOReadSetImportJob 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.