### 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)

"set of tasks only (subsequent executions in the backfill "
        "DO respect depends_on_past)"
    ),
    action="store_true",
)
ARG_POOL = Arg(("--pool",), "Resource pool to use")
ARG_DELAY_ON_LIMIT = Arg(
    ("--delay-on-limit",),
    help=(
        "Amount of time in seconds to wait when the limit "
        "on maximum active dag runs (max_active_runs) has "
        "been reached before trying to execute a dag run "
        "again"
    ),
    type=float,
    default=1.0,
)
ARG_RESET_DAG_RUN = Arg(
    ("--reset-dagruns",),
    help=(
        "if set, the backfill will delete existing "
        "backfill-related DAG runs and start "
        "anew with fresh, running DAG runs"
    ),
    action="store_true",
)
ARG_RERUN_FAILED_TASKS = Arg(
    ("--rerun-failed-tasks",),
    help=(
        "if set, the backfill will auto-rerun "