### Apache Airflow version

2.4.3, 2.5.0

### What happened

when use output from task decorator as parameter (external_task_ids) in ExternalTaskSensor, it show up this log:

```
Broken DAG: [+++++/airflow/dags/TEST_NEW_PIPELINE.py] Traceback (most recent call last):
  File "+++++/env3.10.5/lib/python3.10/site-packages/airflow/models/baseoperator.py", line 408, in apply_defaults
    result = func(self, **kwargs, default_args=default_args)
  File "+++++/env3.10.5/lib/python3.10/site-packages/airflow/sensors/external_task.py", line 164, in __init__
    if external_task_ids and len(external_task_ids) > len(set(external_task_ids)):
TypeError: object of type 'PlainXComArg' has no len()
```

note: +++++ is just a mask for irrelevant information.

### What you think should happen instead

this document https://airflow.apache.org/docs/apache-airflow/stable/tutorial/taskflow.html
show that we can use it without any warning, note about it.

found relative problem in [https://github.com/apache/airflow/issues/27328](url)
should move all the check in __\_\_init\_\___ into __poke__ method.

### How to reproduce

```
from airflow.decorators import dag, task
from airflow.operators.python import get_current_context

from airflow.sensors.external_task import ExternalTaskSensor
from datetime import datetime

configure = {"dag_id": "test_new_skeleton",
                    "schedule": None,
                    "start_date": datetime(2022,1,1),
}

@task
def preprocess_dependency() -> list:
    return ["random-task-name"]

@dag(**configure)
def pipeline(): 
    t_preprocess = preprocess_dependency()
    task_dependency = ExternalTaskSensor(task_id=f"Check_Dependency",
                                         external_dag_id='random-dag-name-that-exist',
                                         external_task_ids=t_preprocess ,
                                         poke_interval=60,
                                         mode="reschedule",
                                         timeout=172800,
                                         allowed_states=['success'],
                                         failed_states=['failed', 'skipped'],
                                         check_existence=True,)


dag = pipeline()
```


### Operating System

REHL 7

### Versions of Apache Airflow Providers

_No response_

### Deployment

Virtualenv installation

### Deployment details

_No response_

### 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)

#
#
#
from __future__ import annotations
import datetime
import os
import warnings
from typing import TYPE_CHECKING, Any, Callable, Collection, Iterable
import attr
from sqlalchemy import func
from airflow.exceptions import AirflowException, AirflowSkipException, RemovedInAirflow3Warning
from airflow.models.baseoperator import BaseOperatorLink
from airflow.models.dag import DagModel
from airflow.models.dagbag import DagBag
from airflow.models.dagrun import DagRun
from airflow.models.taskinstance import TaskInstance
from airflow.operators.empty import EmptyOperator
from airflow.sensors.base import BaseSensorOperator
from airflow.utils.file import correct_maybe_zipped
from airflow.utils.helpers import build_airflow_url_with_query
from airflow.utils.session import provide_session
from airflow.utils.state import State
if TYPE_CHECKING:
    from sqlalchemy.orm import Query
class ExternalDagLink(BaseOperatorLink):