identity_delete_api_key_provider
AI agents call identity_delete_api_key_provider 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 tool name explicitly contains 'delete', which signals an irreversible destructive action. API key providers are critical identity infrastructure - deletion would remove authentication capabilities and cannot be easily undone.
From the tool's definition Tool name contains 'delete' which indicates irreversible removal of an API key provider resource. The 'identity_' prefix suggests this operates on authentication/authorization infrastructure.
Attacks that exploit this kind of access
identity_delete_api_key_provider. 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 identity_delete_api_key_provider: 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.
identity_delete_api_key_provider 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 identity_delete_api_key_provider 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 identity_delete_api_key_provider. 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.
identity_delete_api_key_provider 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.