ListAHORunsInBatch
AI agents call ListAHORunsInBatch 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 tool name strongly suggests a read-only operation that retrieves or enumerates runs in a batch context. No modification, deletion, code execution, or financial action is implied. The empty description reduces confidence slightly, but the naming convention and sibling tools provide sufficient context. 'List' operations typically have low blast radius if misused by an agent.
From the tool's definition Tool name 'ListAHORunsInBatch' indicates a list/query operation on SageMaker runs. The 'List' prefix and context of sibling tools like 'ActivateAHOReadSets' and other data retrieval operations suggest this retrieves run information without modifying state.
Attacks that exploit this kind of access
ListAHORunsInBatch. 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 ListAHORunsInBatch: 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.
ListAHORunsInBatch 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 ListAHORunsInBatch 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 ListAHORunsInBatch. 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.
ListAHORunsInBatch 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.