GetAHOSupportedRegions
AI agents call GetAHOSupportedRegions 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.
This tool retrieves region availability information with no side effects, fitting the Read category. The empty description prevents full confidence, but the naming convention strongly indicates a query operation. Severity is low because region metadata retrieval poses minimal risk if misused by an AI agent.
From the tool's definition Tool name 'GetAHOSupportedRegions' uses the 'Get' verb indicating retrieval of information. The 'Supported Regions' phrasing suggests querying metadata about available AWS regions for Amazon Omics (AHO - Amazon Health Omics).
Attacks that exploit this kind of access
GetAHOSupportedRegions. 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 GetAHOSupportedRegions: 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.
GetAHOSupportedRegions 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 GetAHOSupportedRegions 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 GetAHOSupportedRegions. 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.
GetAHOSupportedRegions 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.