DeleteAHOBatch
AI agents call DeleteAHOBatch to permanently remove resources in Amazon SageMaker AI MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
The 'Delete' verb in the tool name indicates an irreversible destructive action. Even without a description, deletion operations fall into the Destructive category as they cannot be undone. High severity due to batch-level impact affecting multiple records/items. Confidence is moderately high but slightly reduced due to empty description and some uncertainty about the exact scope of 'AHO' context.
From the tool's definition Tool name 'DeleteAHOBatch' contains 'Delete' prefix, indicating irreversible deletion of data. The 'AHO' likely refers to AWS Health Omics (Automated Health Omics) batch operations, and 'Batch' suggests multiple items are affected.
Attacks that exploit this kind of access
DeleteAHOBatch. It is categorised as a Destructive tool in the Amazon SageMaker AI MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Amazon SageMaker AI MCP Server MCP server in PolicyLayer and add a rule for DeleteAHOBatch: 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.
DeleteAHOBatch is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the DeleteAHOBatch 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 DeleteAHOBatch. 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.
DeleteAHOBatch 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.