trigger_dag_run
AI agents invoke trigger_dag_run to trigger actions in MWAA 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.
This tool executes workflows whose side effects are determined by the DAG definition—it could read, write, delete, or perform financial transactions depending on what the DAG does. The tool itself triggers execution of arbitrary workflows, making it Execute-category. Severity is high because a compromised AI agent could trigger production DAGs, causing unintended data modifications, deletions, or external API calls.
From the tool's definition Tool name 'trigger_dag_run' indicates execution of a DAG (Directed Acyclic Graph) workflow in Apache Airflow. DAGs are executable workflows that perform operations on external systems and data.
Attacks that exploit this kind of access
trigger_dag_run. It is categorised as a Execute tool in the MWAA MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the MWAA MCP Server MCP server in PolicyLayer and add a rule for trigger_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 MWAA MCP Server. Nothing to install.
trigger_dag_run is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the trigger_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 trigger_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.
trigger_dag_run is provided by the MWAA MCP Server MCP server (paschmaria/mwaa-mcp-server). 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 →