manage_aws_glue_jobs · AWS IoT SiteWise MCP Server MCP

WHAT IT DOES

What manage_aws_glue_jobs does on AWS IoT SiteWise MCP Server

AI agents invoke manage_aws_glue_jobs to trigger actions in AWS IoT SiteWise MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why manage_aws_glue_jobs needs a policy

The name suggests managing AWS Glue jobs, which involves executing ETL workloads and potentially modifying job configurations. 'Manage' spans multiple severities — it could mean starting/stopping jobs (Execute) or modifying them (Write). Given the ambiguity and the potential to trigger compute-intensive ETL pipelines, Execute at high severity is the most appropriate classification.

From the tool's definition Tool name 'manage_aws_glue_jobs' — 'manage' implies triggering/controlling AWS Glue ETL jobs (start, stop, update operations)

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

manage_aws_glue_jobs Rate-limited

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.

View as policy code

policy.json

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

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches AWS IoT SiteWise MCP Server, so you can run agents against it safely.

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 AWS IoT SiteWise 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 AWS IoT SiteWise 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 AWS IoT SiteWise 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 AWS IoT SiteWise MCP Server MCP server (awslabs.aws-iot-sitewise-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.