gateway_delete
AI agents call gateway_delete 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 name 'gateway_delete' strongly suggests deletion of a gateway resource (likely an API Gateway or network gateway in AWS), which is a destructive operation that cannot be undone. Without a description, we cannot determine if safeguards exist, but the semantic meaning of 'delete' in this context places it in the Destructive category with high severity due to potential loss of infrastructure or access controls.
From the tool's definition Tool name 'gateway_delete' contains the verb 'delete', which indicates irreversible removal of data or resources. No description provided to clarify scope or constraints.
Attacks that exploit this kind of access
gateway_delete. 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 gateway_delete: 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.
gateway_delete 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 gateway_delete 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 gateway_delete. 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.
gateway_delete 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.