delete_agent_runtime_endpoint
AI agents call delete_agent_runtime_endpoint 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.
Deletion of a SageMaker agent runtime endpoint is an irreversible action that cannot be undone without recreating the resource. This constitutes a destructive operation with potentially significant impact if triggered inappropriately by an AI agent (service disruption, loss of inference capability). The absence of a description reduces confidence slightly, but the delete verb in the tool name is definitive.
From the tool's definition Tool name is 'delete_agent_runtime_endpoint' which explicitly performs a delete operation on a SageMaker agent runtime endpoint resource. The description is empty, but the name unambiguously indicates permanent removal.
Attacks that exploit this kind of access
delete_agent_runtime_endpoint. 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 delete_agent_runtime_endpoint: 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.
delete_agent_runtime_endpoint 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 delete_agent_runtime_endpoint 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 delete_agent_runtime_endpoint. 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.
delete_agent_runtime_endpoint 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.