airflow_tail_dag_run

Tail/monitor a DAG run showing recent activity and logs

Server MCP Server for Apache Airflow tomnagengast/mcp-server-airflow
Category Read
Risk class Low
Parameters 00 required

What airflow_tail_dag_run does on MCP Server for Apache Airflow

AI agents call airflow_tail_dag_run to retrieve information from MCP Server for Apache Airflow without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why airflow_tail_dag_run needs a policy

This tool reads and displays recent activity and logs from a DAG run without modifying any state. 'Tail' and 'monitor' are purely observational operations, similar to tailing a log file. No side effects are implied. Severity is low as it only retrieves monitoring data.

From the tool's definition Tail/monitor a DAG run showing recent activity and logs

Questions about airflow_tail_dag_run

What does the airflow_tail_dag_run tool do? +

Tail/monitor a DAG run showing recent activity and logs. It is categorised as a Read tool in the MCP Server for Apache Airflow MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on airflow_tail_dag_run? +

Register the MCP Server for Apache Airflow MCP server in PolicyLayer and add a rule for airflow_tail_dag_run: 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_tail_dag_run? +

airflow_tail_dag_run is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit airflow_tail_dag_run? +

Yes. Add a rate_limit block to the airflow_tail_dag_run 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_tail_dag_run completely? +

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

airflow_tail_dag_run 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.

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