### 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)

"""Check ``schedule_interval`` and ``timetable`` match.
        This is done as a part of the DAG validation done before it's bagged, to
        guard against the DAG's ``timetable`` (or ``schedule_interval``) from
        being changed after it's created, e.g.
        .. code-block:: python
            dag1 = DAG("d1", timetable=MyTimetable())
            dag1.schedule_interval = "@once"
            dag2 = DAG("d2", schedule="@once")
            dag2.timetable = MyTimetable()
        Validation is done by creating a timetable and check its summary matches
        ``schedule_interval``. The logic is not bullet-proof, especially if a
        custom timetable does not provide a useful ``summary``. But this is the
        best we can do.
        """
        if self.schedule_interval == self.timetable.summary:
            return True
        try:
            timetable = create_timetable(self.schedule_interval, self.timezone)
        except ValueError:
            return False
        return timetable.summary == self.timetable.summary
    def validate(self):