### 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)

self.log.debug("Clearing existing task instances for execution date %s", execution_date)
        self.clear(
            start_date=execution_date,
            end_date=execution_date,
            dag_run_state=False,  
            session=session,
        )
        self.log.debug("Getting dagrun for dag %s", self.dag_id)
        logical_date = timezone.coerce_datetime(execution_date)
        data_interval = self.timetable.infer_manual_data_interval(run_after=logical_date)
        dr: DagRun = _get_or_create_dagrun(
            dag=self,
            start_date=execution_date,
            execution_date=execution_date,
            run_id=DagRun.generate_run_id(DagRunType.MANUAL, execution_date),
            session=session,
            conf=run_conf,
            data_interval=data_interval,
        )
        tasks = self.task_dict
        self.log.debug("starting dagrun")
        
        
        
        while dr.state == DagRunState.RUNNING:
            session.expire_all()
            schedulable_tis, _ = dr.update_state(session=session)
            for s in schedulable_tis:
                s.state = TaskInstanceState.SCHEDULED
            session.commit()