diff --git a/providers/amazon/docs/operators/mwaa.rst b/providers/amazon/docs/operators/mwaa.rst
index 7eb9bab3983bc..20108743f2b8b 100644
--- a/providers/amazon/docs/operators/mwaa.rst
+++ b/providers/amazon/docs/operators/mwaa.rst
@@ -49,7 +49,7 @@ To trigger a DAG run in an Amazon MWAA environment you can use the
 :class:`~airflow.providers.amazon.aws.operators.mwaa.MwaaTriggerDagRunOperator`
 
 In the following example, the task ``trigger_dag_run`` triggers a DAG run for the DAG ``hello_world`` in the environment
-``MyAirflowEnvironment``.
+``MyAirflowEnvironment`` and waits for the run to complete.
 
 .. exampleinclude:: /../../providers/amazon/tests/system/amazon/aws/example_mwaa.py
     :language: python
diff --git a/providers/amazon/tests/system/amazon/aws/example_mwaa.py b/providers/amazon/tests/system/amazon/aws/example_mwaa.py
index dd76a0ed5dc08..2ec11653060b9 100644
--- a/providers/amazon/tests/system/amazon/aws/example_mwaa.py
+++ b/providers/amazon/tests/system/amazon/aws/example_mwaa.py
@@ -72,6 +72,7 @@
         task_id="trigger_dag_run",
         env_name=env_name,
         trigger_dag_id=trigger_dag_id,
+        wait_for_completion=True,
     )
     # [END howto_operator_mwaa_trigger_dag_run]