### 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)

"format, see: https://www.graphviz.org/doc/info/output.html\n"
            "\n"
            "If you want to create a PNG file then you should execute the following command:\n"
            "airflow dags show-dependencies --save output.png\n"
            "\n"
            "If you want to create a DOT file then you should execute the following command:\n"
            "airflow dags show-dependencies --save output.dot\n"
        ),
        func=lazy_load_command("airflow.cli.commands.dag_command.dag_dependencies_show"),
        args=(
            ARG_SUBDIR,
            ARG_SAVE,
            ARG_IMGCAT,
            ARG_VERBOSE,
        ),
    ),
    ActionCommand(
        name="backfill",
        help="Run subsections of a DAG for a specified date range",
        description=(
            "Run subsections of a DAG for a specified date range. If reset_dag_run option is used, "
            "backfill will first prompt users whether airflow should clear all the previous dag_run and "
            "task_instances within the backfill date range. If rerun_failed_tasks is used, backfill "
            "will auto re-run the previous failed task instances  within the backfill date range"
        ),
        func=lazy_load_command("airflow.cli.commands.dag_command.dag_backfill"),
        args=(
            ARG_DAG_ID,
            ARG_TASK_REGEX,
            ARG_START_DATE,