Is your feature request related to a problem?

I sometimes use xr.open_dataset instead of xr.open_mfdataset on multiple paths. I propose to raise a more informative error message than ValueError: did not find a match in any of xarray's currently installed IO backends ['netcdf4', 'h5netcdf', 'scipy', 'cfgrib']. Consider explicitly selecting one of the installed engines via the ``engine`` parameter, or installing additional IO dependencies, see: https://docs.xarray.dev/en/stable/getting-started-guide/installing.html https://docs.xarray.dev/en/stable/user-guide/io.html.

```python import xarray as xr

xr.version # '2022.3.0'

ds = xr.tutorial.load_dataset("air_temperature")

ds.isel(time=slice(None,1500)).to_netcdf("file1.nc") ds.isel(time=slice(1500,None)).to_netcdf("file2.nc")

xr.open_mfdataset(["file1.nc","file2.nc"]) # works xr.open_mfdataset("file?.nc") # works

I understand what I need to do here

xr.open_dataset("file?.nc") # fails FileNotFoundError: No such file or directory: b'/dir/file?.nc'

I dont here; I also first try to check whether one of these files is corrupt

xr.open_dataset(["file1.nc","file2.nc"]) # fails ValueError: did not find a match in any of xarray's currently installed IO backends ['netcdf4', 'h5netcdf', 'scipy', 'cfgrib']. Consider explicitly selecting one of the installed engines via the engine parameter, or installing additional IO dependencies, see: links ```

Describe the solution you'd like

directing the user towards the solution, i.e. "found path as list, please use open_mfdataset"

Describe alternatives you've considered

No response

Additional context

No response