manage_aws_glue_usage_profiles

WHAT IT DOES

What manage_aws_glue_usage_profiles does on Amazon Bedrock Knowledge Base Retrieval MCP Server

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

THE RISK

Medium Risk

Why manage_aws_glue_usage_profiles needs a policy

The tool operates on AWS Glue usage profiles (configurations), making it a Write operation since it likely modifies or updates profile settings. However, lacking a description significantly limits confidence. The severity is medium because misconfiguration of usage profiles could impact Glue job execution and resource allocation, but is not immediately destructive or irreversible.

From the tool's definition Tool name 'manage_aws_glue_usage_profiles' suggests modification or administration of AWS Glue usage profiles, which are configurations that track and control resource usage. The verb 'manage' typically implies create, update, or modify operations.

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 Bedrock Knowledge Base Retrieval 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": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

manage_aws_glue_usage_profiles 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.

Create a free account and register Amazon Bedrock Knowledge Base Retrieval 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.

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EXPLORE

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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 Write tool in the Amazon Bedrock Knowledge Base Retrieval 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 manage_aws_glue_usage_profiles? +

Register the Amazon Bedrock Knowledge Base Retrieval 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 Bedrock Knowledge Base Retrieval MCP Server. Nothing to install.

What risk level is manage_aws_glue_usage_profiles? +

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

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 Bedrock Knowledge Base Retrieval MCP Server MCP server (awslabs.bedrock-kb-retrieval-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 Bedrock Knowledge Base Retrieval MCP Server tool call.

Start from Amazon Bedrock Knowledge Base Retrieval 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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