manage_aws_glue_usage_profiles

WHAT IT DOES

What manage_aws_glue_usage_profiles does on Amazon SageMaker AI MCP Server

AI agents call manage_aws_glue_usage_profiles as a supporting operation in Amazon SageMaker AI MCP Server workflows.

WHY IT NEEDS A POLICY

Why manage_aws_glue_usage_profiles needs a policy

The description is empty, providing no information about what the tool actually does. The name 'manage_aws_glue_usage_profiles' suggests administrative operations on AWS Glue usage profiles, which could span Read, Write, or Destructive categories. Without a description, confidence is very low. The word 'manage' is ambiguous but often implies CRUD operations.

From the tool's definition Tool description is empty; name suggests AWS Glue usage profile management (create/update/delete possible)

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

manage_aws_glue_usage_profiles Rate-limited

manage_aws_glue_usage_profiles gets a rate cap, and everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "manage_aws_glue_usage_profiles": {
      "limits": [
        {
          "counter": "manage_aws_glue_usage_profiles_rate",
          "window": "minute",
          "max": 60,
          "scope": "grant"
        }
      ]
    }
  }
}

SET A RULE FOR 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 manage_aws_glue_usage_profiles

What does the manage_aws_glue_usage_profiles tool do? +

manage_aws_glue_usage_profiles. It is categorised as a Other tool in the Amazon SageMaker AI MCP Server MCP Server, which means it performs auxiliary operations.

How do I enforce a policy on manage_aws_glue_usage_profiles? +

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

manage_aws_glue_usage_profiles is a Other tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit manage_aws_glue_usage_profiles? +

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

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

manage_aws_glue_usage_profiles 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.