remove_instance_from_image_set

remove_instance_from_image_set

Server Amazon SageMaker AI MCP Server awslabs.sagemaker-ai-mcp-server
Category Destructive
Risk class Critical
Parameters 00 required

What remove_instance_from_image_set does on Amazon SageMaker AI MCP Server

AI agents call remove_instance_from_image_set 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 remove_instance_from_image_set needs a policy

The word 'remove' in the tool name strongly implies a destructive, potentially irreversible operation — removing an instance from an image set likely cannot be undone. The description is empty, which lowers confidence, but the naming pattern is consistent with destructive operations. Severity is high given that removing imaging data in a medical/ML context (SageMaker) could result in permanent data loss.

From the tool's definition Tool name: 'remove_instance_from_image_set' — 'remove' suggests deletion or irreversible removal of an instance from an image set.

Questions about remove_instance_from_image_set

What does the remove_instance_from_image_set tool do? +

remove_instance_from_image_set. 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 remove_instance_from_image_set? +

Register the Amazon SageMaker AI MCP Server MCP server in PolicyLayer and add a rule for remove_instance_from_image_set: 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 remove_instance_from_image_set? +

remove_instance_from_image_set 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 remove_instance_from_image_set? +

Yes. Add a rate_limit block to the remove_instance_from_image_set 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 remove_instance_from_image_set completely? +

Set action: deny in the PolicyLayer policy for remove_instance_from_image_set. 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 remove_instance_from_image_set? +

remove_instance_from_image_set 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.

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