manage_aws_glue_usage_profiles

THE RISK

Low Risk

Why manage_aws_glue_usage_profiles needs a policy

Without a description, the exact behavior cannot be determined. 'Manage' could span Read, Write, or Destructive operations. The name suggests it relates to AWS Glue usage profile configuration. Given the ambiguity, confidence is low and severity is medium as a precaution given it operates on cloud infrastructure configuration.

From the tool's definition Tool description is empty and uninformative; tool name 'manage_aws_glue_usage_profiles' suggests management of AWS Glue usage profiles but no description is provided.

Documented attack patterns abuse exactly the kind of access manage_aws_glue_usage_profiles gives an agent:

POLICY

How to control manage_aws_glue_usage_profiles

PolicyLayer is an MCP gateway — it sits between your AI agents and Amazon EKS MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for manage_aws_glue_usage_profiles:

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"
        }
      ]
    }
  }
}

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

Create a free account and register Amazon EKS MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

SET A RULE FOR THIS TOOL →

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EXPLORE

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Go deeper

Roll out MCP under one policy → Per-person scoped tokens, one central policy, and full audit across every server your team connects.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Tool risk categories → How PolicyLayer classifies MCP tools by what they can do.
MCP tool → What an MCP tool is and how clients discover and call it.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →
PolicyLayer vs alternatives → How deterministic, per-call MCP policy compares with gateways, identity layers, and authorisation platforms.

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 EKS 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 EKS 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 EKS 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 EKS MCP Server MCP server (awslabs.eks-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Amazon EKS MCP Server tool call.

Start from Amazon EKS MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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