add_user_to_group · Amazon SageMaker AI MCP Server MCP

WHAT IT DOES

What add_user_to_group does on Amazon SageMaker AI MCP Server

AI agents use add_user_to_group to create or update resources in Amazon SageMaker AI MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Amazon SageMaker AI MCP Server environment.

WHY IT NEEDS A POLICY

Why add_user_to_group needs a policy

This tool creates or modifies group membership by adding a user, which is a reversible Write operation. The empty description lowers confidence but the operation name clearly indicates a state modification. Severity is medium because incorrect group membership can affect access controls and permissions, but the action is reversible (the user can be removed from the group).

From the tool's definition Tool name 'add_user_to_group' indicates a reversible modification operation that adds a user to a group. The verb 'add' is typical of Write operations. No description provided to confirm scope or context.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

add_user_to_group Rate-limited

add_user_to_group stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "add_user_to_group": {
      "limits": [
        {
          "counter": "add_user_to_group_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Amazon SageMaker AI MCP Server, so you can run agents against it safely.

FAQ

Questions about add_user_to_group

What does the add_user_to_group tool do? +

add_user_to_group. It is categorised as a Write tool in the Amazon SageMaker AI MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on add_user_to_group? +

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

add_user_to_group is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit add_user_to_group? +

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

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

add_user_to_group 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.