Get details of a specific DAG run
AI agents call airflow_get_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.
This tool retrieves metadata and status information about a DAG run. It performs no side effects, creates no resources, modifies no state, and triggers no external operations. The blast radius of misuse is minimal—an AI agent could gather information about workflow executions but cannot alter, delete, or trigger actions. This is a safe informational read operation typical of monitoring and observability tools.
From the tool's definition Tool name 'airflow_get_dag_run' and description 'Get details of a specific DAG run' indicate retrieval of information without modification.
Attacks that exploit this kind of access
Get details of a specific DAG run. It is categorised as a Read tool in the MCP Server for Apache Airflow MCP Server, which means it retrieves data without modifying state.
Register the MCP Server for Apache Airflow MCP server in PolicyLayer and add a rule for airflow_get_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.
airflow_get_dag_run is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the airflow_get_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.
Set action: deny in the PolicyLayer policy for airflow_get_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.
airflow_get_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.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
Teams ship this data inside their own products. See what a licence covers →