detach_user_policy · Amazon SageMaker AI MCP Server MCP

WHAT IT DOES

What detach_user_policy does on Amazon SageMaker AI MCP Server

AI agents call detach_user_policy 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.

WHY IT NEEDS A POLICY

Why detach_user_policy needs a policy

Detaching a policy from a user removes permissions irreversibly (in the sense that the detachment itself is a discrete action that removes access controls). This is a destructive IAM operation: removing a policy from a user can immediately revoke access, potentially breaking workflows or exposing security gaps.

From the tool's definition Tool name: 'detach_user_policy' — 'detach' implies removing a policy association from a user

Attacks that exploit this kind of access

Questions about detach_user_policy

What does the detach_user_policy tool do? +

detach_user_policy. 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.

How do I enforce a policy on detach_user_policy? +

Register the Amazon SageMaker AI MCP Server MCP server in PolicyLayer and add a rule for detach_user_policy: 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.

What risk level is detach_user_policy? +

detach_user_policy is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit detach_user_policy? +

Yes. Add a rate_limit block to the detach_user_policy 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.

How do I block detach_user_policy completely? +

Set action: deny in the PolicyLayer policy for detach_user_policy. 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.

What MCP server provides detach_user_policy? +

detach_user_policy 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.