manage_aws_glue_connections

THE RISK

Medium Risk

Why manage_aws_glue_connections needs a policy

With an empty description, classification relies on the tool name. 'Manage' in AWS service contexts usually means write operations that create or modify resources. Managing Glue connections could involve updating credentials or connection parameters, which are reversible Write operations. High severity due to potential exposure of database credentials or connection hijacking if misused by an agent.

From the tool's definition Tool name 'manage_aws_glue_connections' suggests modifying AWS Glue connection configurations. The verb 'manage' typically implies create, update, or modify operations on connection objects (credentials, endpoints, properties).

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

POLICY

How to control manage_aws_glue_connections

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

policy.json

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

manage_aws_glue_connections 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 Redshift 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.

LIMIT THIS TOOL →

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EXPLORE

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FAQ

Questions about manage_aws_glue_connections

What does the manage_aws_glue_connections tool do? +

manage_aws_glue_connections. It is categorised as a Write tool in the Amazon Redshift 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_connections? +

Register the Amazon Redshift MCP Server MCP server in PolicyLayer and add a rule for manage_aws_glue_connections: 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 Redshift MCP Server. Nothing to install.

What risk level is manage_aws_glue_connections? +

manage_aws_glue_connections 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_connections? +

Yes. Add a rate_limit block to the manage_aws_glue_connections 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_connections completely? +

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

manage_aws_glue_connections is provided by the Amazon Redshift MCP Server MCP server (awslabs.redshift-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 Redshift MCP Server tool call.

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

CHECK YOUR STACK →