manage_aws_glue_catalog · Amazon SageMaker AI MCP Server MCP

WHAT IT DOES

What manage_aws_glue_catalog does on Amazon SageMaker AI MCP Server

AI agents use manage_aws_glue_catalog 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 manage_aws_glue_catalog needs a policy

AWS Glue Catalog management can create or modify metadata resources that affect data discovery and processing pipelines. While not inherently destructive (those would be explicit delete/drop operations), management operations are reversible writes that could misconfigure data access or pipelines if misused by an AI agent. High severity due to metadata's critical role in data governance.

From the tool's definition Tool name 'manage_aws_glue_catalog' indicates management/modification of AWS Glue Catalog metadata. The description is empty, limiting direct evidence, but 'manage' typically implies create, update, or modify operations on catalog resources (databases,…

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

manage_aws_glue_catalog Rate-limited

manage_aws_glue_catalog 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": {
    "manage_aws_glue_catalog": {
      "limits": [
        {
          "counter": "manage_aws_glue_catalog_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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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_catalog

What does the manage_aws_glue_catalog tool do? +

manage_aws_glue_catalog. 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 manage_aws_glue_catalog? +

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

manage_aws_glue_catalog 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_catalog? +

Yes. Add a rate_limit block to the manage_aws_glue_catalog 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_catalog completely? +

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

manage_aws_glue_catalog 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.