### 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)

all_tis = set(dr.get_task_instances(session=session))
            scheduled_tis = {x for x in all_tis if x.state == TaskInstanceState.SCHEDULED}
            ids_unrunnable = {x for x in all_tis if x.state not in State.finished} - scheduled_tis
            if not scheduled_tis and ids_unrunnable:
                self.log.warning("No tasks to run. unrunnable tasks: %s", ids_unrunnable)
                time.sleep(1)
            for ti in scheduled_tis:
                try:
                    add_logger_if_needed(ti)
                    ti.task = tasks[ti.task_id]
                    ret = _run_task(ti, session=session)
                    if ret is TaskReturnCode.DEFERRED:
                        if not _triggerer_is_healthy():
                            raise _StopDagTest(
                                "Task has deferred but triggerer component is not running. "
                                "You can start the triggerer by running `airflow triggerer` in a terminal."
                            )
                except _StopDagTest:
                    
                    
                    raise
                except Exception:
                    self.log.exception("Task failed; ti=%s", ti)
        if conn_file_path or variable_file_path:
            
            secrets_backend_list.pop(0)
        return dr
    @provide_session
    def create_dagrun(