GetAHORunGroup
AI agents call GetAHORunGroup 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 indicates a read-only retrieval operation. Without a description, confidence is moderate, but the sibling tools (ActivateAHOReadSets, analyze_*) and naming patterns on a SageMaker AI server suggest this queries existing run group metadata rather than executing or modifying resources. Blast radius is low if misused—returning unwanted but non-destructive data.
From the tool's definition Tool name 'GetAHORunGroup' uses the verb 'Get', which is a retrieval operation. The description is empty, but the naming convention strongly suggests a query/fetch operation that retrieves information about an AHO (AWS health operations or similar) run group…
Attacks that exploit this kind of access
GetAHORunGroup. 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 GetAHORunGroup: 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.
GetAHORunGroup 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 GetAHORunGroup 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 GetAHORunGroup. 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.
GetAHORunGroup 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.