airflow_trigger_dag · MCP Server for Apache Airflow MCP

WHAT IT DOES

What airflow_trigger_dag does on MCP Server for Apache Airflow

AI agents invoke airflow_trigger_dag to trigger actions in MCP Server for Apache Airflow. 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 airflow_trigger_dag needs a policy

This tool initiates execution of external workflows whose effects depend on the DAG's configuration and tasks. While not directly running code via the tool itself, triggering a DAG run causes Airflow to execute potentially complex, multi-step operations that may have significant side effects (data processing, external API calls, system commands).

From the tool's definition Tool name 'airflow_trigger_dag' with description 'Trigger a DAG run' indicates execution of a workflow. DAGs (Directed Acyclic Graphs) in Apache Airflow are job orchestration workflows that can execute arbitrary tasks including shell commands, database…

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

airflow_trigger_dag Rate-limited

airflow_trigger_dag 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": {
    "airflow_trigger_dag": {
      "limits": [
        {
          "counter": "airflow_trigger_dag_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 MCP Server for Apache Airflow, so you can run agents against it safely.

FAQ

Questions about airflow_trigger_dag

What does the airflow_trigger_dag tool do? +

Trigger a DAG run. It is categorised as a Execute tool in the MCP Server for Apache Airflow MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on airflow_trigger_dag? +

Register the MCP Server for Apache Airflow MCP server in PolicyLayer and add a rule for airflow_trigger_dag: 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 MCP Server for Apache Airflow. Nothing to install.

What risk level is airflow_trigger_dag? +

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

Can I rate-limit airflow_trigger_dag? +

Yes. Add a rate_limit block to the airflow_trigger_dag 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 airflow_trigger_dag completely? +

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

airflow_trigger_dag is provided by the MCP Server for Apache Airflow MCP server (tomnagengast/mcp-server-airflow). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.