diff --git a/pandas/core/groupby/groupby.py b/pandas/core/groupby/groupby.py
index aa21aa452be95..8ff04948240ab 100644
--- a/pandas/core/groupby/groupby.py
+++ b/pandas/core/groupby/groupby.py
@@ -1359,17 +1359,17 @@ def groupby_function(
             @Substitution(name="groupby", f=name)
             @Appender(_common_see_also)
             @Appender(_local_template)
-            def f(self, **kwargs):
-                if "numeric_only" not in kwargs:
-                    kwargs["numeric_only"] = numeric_only
-                if "min_count" not in kwargs:
-                    kwargs["min_count"] = min_count
-
+            def func(self, numeric_only=numeric_only, min_count=min_count):
                 self._set_group_selection()
 
                 # try a cython aggregation if we can
                 try:
-                    return self._cython_agg_general(alias, alt=npfunc, **kwargs)
+                    return self._cython_agg_general(
+                        how=alias,
+                        alt=npfunc,
+                        numeric_only=numeric_only,
+                        min_count=min_count,
+                    )
                 except DataError:
                     pass
                 except NotImplementedError as err:
@@ -1384,9 +1384,9 @@ def f(self, **kwargs):
                 result = self.aggregate(lambda x: npfunc(x, axis=self.axis))
                 return result
 
-            set_function_name(f, name, cls)
+            set_function_name(func, name, cls)
 
-            return f
+            return func
 
         def first_compat(x, axis=0):
             def first(x):