### 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)

dag: DAG,
        dag_run_id: str,
        success: bool = True,
        reason: str | None = None,
        *,
        session: Session = NEW_SESSION,
    ) -> tuple[list[TaskStateChangeCallback], Context] | None:
        """
        Fetch the appropriate callbacks depending on the value of success.
        This method gets the context of a single TaskInstance part of this DagRun and returns it along
        the list of callbacks.
        :param dag: DAG object
        :param dag_run_id: The DAG run ID
        :param success: Flag to specify if failure or success callback should be called
        :param reason: Completion reason
        :param session: Database session
        """
        callbacks = dag.on_success_callback if success else dag.on_failure_callback
        if callbacks:
            dagrun = DAG.fetch_dagrun(dag_id=dag.dag_id, run_id=dag_run_id, session=session)
            callbacks = callbacks if isinstance(callbacks, list) else [callbacks]
            tis = dagrun.get_task_instances(session=session)