DeleteAHORunBatch
AI agents call DeleteAHORunBatch 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 combined with 'Batch' suggests bulk deletion of one or more run records. This is a destructive operation that cannot be undone, making it Destructive rather than Write. Confidence is moderately high based on the name, but absence of a description leaves some uncertainty about whether this is a logical deletion or complete purge, and what data is actually removed.
From the tool's definition Tool name 'DeleteAHORunBatch' contains 'Delete' prefix, indicating irreversible data removal. The tool operates on 'AHORunBatch' objects (likely AWS Omics or genomics batch runs). No description provided to clarify scope or safeguards.
Attacks that exploit this kind of access
DeleteAHORunBatch. 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 DeleteAHORunBatch: 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.
DeleteAHORunBatch 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 DeleteAHORunBatch 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 DeleteAHORunBatch. 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.
DeleteAHORunBatch 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.