### 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)

cls,
        alive_dag_filelocs: Container[str],
        processor_subdir: str,
        session: Session = NEW_SESSION,
    ) -> None:
        """
        Set ``is_active=False`` on the DAGs for which the DAG files have been removed.
        :param alive_dag_filelocs: file paths of alive DAGs
        :param processor_subdir: dag processor subdir
        :param session: ORM Session
        """
        log.debug("Deactivating DAGs (for which DAG files are deleted) from %s table ", cls.__tablename__)
        dag_models = session.scalars(
            select(cls).where(
                cls.fileloc.is_not(None),
                or_(
                    cls.processor_subdir.is_(None),
                    cls.processor_subdir == processor_subdir,
                ),
            )
        )
        for dag_model in dag_models:
            if dag_model.fileloc not in alive_dag_filelocs:
                dag_model.is_active = False
    @classmethod
    def dags_needing_dagruns(cls, session: Session) -> tuple[Query, dict[str, tuple[datetime, datetime]]]: