Rename Pandas .agg() columns inside function call

Question

Is there a way to do the following inside the .agg() function?

hl = df[["sym", "bid", "ask"]].groupby("sym").agg(["min", "max"])
hl = hl.rename(columns={"min": "low", "max": "high"})

I see from the pandas documentation that you can use pd.namedAgg to apply different aggregations to different columns but all I would like to do is rename the columns in the original .agg() call.

I am used to writing in a very terse language (kdb+/q) hence wanted to reduce the number of lines of code.