ListAHOReferenceStores
AI agents call ListAHOReferenceStores 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 'List' prefix strongly indicates this tool retrieves and enumerates reference stores without side effects. Despite the empty description limiting certainty, the naming convention and context among sibling tools (which include reads like 'ActivateAHOReadSets', writes like 'add_attachments_to_set', and analysis operations) support a Read classification.
From the tool's definition Tool name 'ListAHOReferenceStores' begins with 'List', which is a common pattern for retrieval operations that query and return data without modification. The 'AHO' prefix suggests AWS HealthOmics operations.
Attacks that exploit this kind of access
ListAHOReferenceStores. 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 ListAHOReferenceStores: 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.
ListAHOReferenceStores 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 ListAHOReferenceStores 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 ListAHOReferenceStores. 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.
ListAHOReferenceStores 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.