### What do you see as an issue?

The `--state` CLI flag on `airflow dags list-jobs` does not tell the user what arguments it can take.

https://github.com/apache/airflow/blob/1bd538be8c5b134643a6c5eddd06f70e6f0db2e7/airflow/cli/cli_config.py#L280

It probably needs some keyword args similar to the following:

```python
 metavar="(table, json, yaml, plain)",
 choices=("table", "json", "yaml", "plain"),
```

### Solving the problem

The problem can be solved by adding those keyword arguments so that the user gets a suggestion for what state arguments can be passed in.

### Anything else

Any suggestions on what can be a valid state would be much appreciated. Otherwise, I'll find some time to read through the code and/or docs and figure it out.

### Are you willing to submit PR?

- [X] 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)

"""Create a lazy loader for command."""
    _, _, name = import_path.rpartition(".")
    def command(*args, **kwargs):
        func = import_string(import_path)
        return func(*args, **kwargs)
    command.__name__ = name
    return command
class DefaultHelpParser(argparse.ArgumentParser):
    """CustomParser to display help message."""
    def _check_value(self, action, value):
        """Override _check_value and check conditionally added command."""
        if action.dest == "subcommand" and value == "celery":
            executor = conf.get("core", "EXECUTOR")
            if executor not in (CELERY_EXECUTOR, CELERY_KUBERNETES_EXECUTOR):
                executor_cls, _ = ExecutorLoader.import_executor_cls(executor)
                classes = ()
                try:
                    from airflow.executors.celery_executor import CeleryExecutor
                    classes += (CeleryExecutor,)
                except ImportError:
                    message = (
                        "The celery subcommand requires that you pip install the celery module. "
                        "To do it, run: pip install 'apache-airflow[celery]'"
                    )
                    raise ArgumentError(action, message)
                try:
                    from airflow.executors.celery_kubernetes_executor import CeleryKubernetesExecutor