### Apache Airflow version

2.3.3 (latest released)

### What happened

An URL I saved in the past, `https://astronomer.astronomer.run/dx4o2568/home?tags=test`,  has the tag field in the query parameter though I was not aware of this. When I clicked on the URL, I was confused because I did not see any DAGs when I should have a bunch.

After closer inspection, I realized that the URL has the tag field in the query parameter but then noticed that the tag box in the Airflow UI wasn't properly populated.

![screen_shot_2022-07-12_at_8 11 07_am](https://user-images.githubusercontent.com/5952735/182496710-601b4a98-aacb-4482-bb9f-bb3fdf9e265f.png)


### What you think should happen instead

When I clicked on the URL, the tag box should have been populated with the strings in the URL.

### How to reproduce

Start an Airflow deployment with some DAGs and add the tag query parameter. More specifically, it has to be a tag that is not used by any DAG.

### Operating System

N/A

### Versions of Apache Airflow Providers

_No response_

### Deployment

Astronomer

### Deployment details

_No response_

### Anything else

_No response_

### 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)

"""Shows configuration."""
        raw = request.args.get("raw") == "true"
        title = "Airflow Configuration"
        subtitle = AIRFLOW_CONFIG
        expose_config = conf.get("webserver", "expose_config")
        
        
        
        if expose_config.lower() == "non-sensitive-only":
            from airflow.configuration import SENSITIVE_CONFIG_VALUES
            updater = configupdater.ConfigUpdater()
            updater.read(AIRFLOW_CONFIG)
            for sect, key in SENSITIVE_CONFIG_VALUES:
                if updater.has_option(sect, key):
                    updater[sect][key].value = "< hidden >"
            config = str(updater)
            table = [
                (section, key, str(value), source)
                for section, parameters in conf.as_dict(True, False).items()
                for key, (value, source) in parameters.items()
            ]
        elif expose_config.lower() in ["true", "t", "1"]:
            with open(AIRFLOW_CONFIG) as file:
                config = file.read()