### What do you see as an issue?

The [/dags/{dag_id}/details](https://airflow.apache.org/docs/apache-airflow/stable/stable-rest-api-ref.html#operation/post_set_task_instances_state) endpoint of the REST API does not return all of the keys that are listed in the documentation. If I run `curl -X GET localhost:8080/api/v1/dags/{my_dag}/details`, then compare the results with the results in the documentation, you can see the following missing keys:

```python
>>> for key in docs.keys():
...     if not key in actual.keys():
...             print(key)
...
root_dag_id
last_parsed_time
last_pickled
last_expired
scheduler_lock
timetable_description
has_task_concurrency_limits
has_import_errors
next_dagrun
next_dagrun_data_interval_start
next_dagrun_data_interval_end
next_dagrun_create_after
template_search_path
```

### Solving the problem

Either remove these keys from the documentation or fix the API endpoint

### Anything else

_No response_

### Are you willing to submit PR?

- [ ] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

"""Validate the DAG has a coherent setup.
        This is called by the DAG bag before bagging the DAG.
        """
        if not self._check_schedule_interval_matches_timetable():
            raise AirflowDagInconsistent(
                f"inconsistent schedule: timetable {self.timetable.summary!r} "
                f"does not match schedule_interval {self.schedule_interval!r}",
            )
        self.validate_schedule_and_params()
        self.timetable.validate()
        self.validate_setup_teardown()
    def validate_setup_teardown(self):
        """
        Validate that setup and teardown tasks are configured properly.
        :meta private:
        """
        for task in self.tasks:
            if task.is_setup:
                for down_task in task.downstream_list:
                    if not down_task.is_teardown and down_task.trigger_rule != TriggerRule.ALL_SUCCESS:
                        
                        
                        
                        raise ValueError("Setup tasks must be followed with trigger rule ALL_SUCCESS.")
            FailStopDagInvalidTriggerRule.check(dag=self, trigger_rule=task.trigger_rule)
    def __repr__(self):