manage_aws_glue_jobs

THE RISK

High Risk

Why manage_aws_glue_jobs needs a policy

AWS Glue jobs execute data transformation and ETL workloads. 'Manage' suggests starting, stopping, or configuring jobs — all of which trigger external execution. Empty description reduces certainty, but the name strongly implies Execute-level operations. Severity is high due to potential to trigger large-scale data processing jobs or modify data pipelines.

From the tool's definition Tool name 'manage_aws_glue_jobs' implies orchestrating/running AWS Glue ETL jobs, which execute data processing pipelines. Description is empty, lowering confidence.

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

POLICY

How to control manage_aws_glue_jobs

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_jobs:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "manage_aws_glue_jobs": {
      "limits": [
        {
          "counter": "manage_aws_glue_jobs_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

manage_aws_glue_jobs stays usable, but rate-capped — a runaway agent can't fire it dozens of times 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.

RATE-LIMIT THIS TOOL →

Free to start. No card required.

EXPLORE

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Govern code and CI agents → Branch allowlists, approval on merges, and rate caps on the build and pipeline tools agents trigger.
High-risk tools in Amazon Redshift MCP Server → Every high-risk tool this server exposes, in one view.
All high-risk MCP tools → Every high-risk tool across the catalogue, and the policy pattern that contains them.
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FAQ

Questions about manage_aws_glue_jobs

What does the manage_aws_glue_jobs tool do? +

manage_aws_glue_jobs. It is categorised as a Execute tool in the Amazon Redshift MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on manage_aws_glue_jobs? +

Register the Amazon Redshift MCP Server MCP server in PolicyLayer and add a rule for manage_aws_glue_jobs: 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_jobs? +

manage_aws_glue_jobs is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit manage_aws_glue_jobs? +

Yes. Add a rate_limit block to the manage_aws_glue_jobs 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_jobs completely? +

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

manage_aws_glue_jobs 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 →