diff --git a/sklearn/tests/test_docstrings.py b/sklearn/tests/test_docstrings.py
index 591107502c296..00206cfb86c9b 100644
--- a/sklearn/tests/test_docstrings.py
+++ b/sklearn/tests/test_docstrings.py
@@ -16,7 +16,6 @@
     "sklearn.utils.extmath.randomized_svd",
     "sklearn.utils.extmath.svd_flip",
     "sklearn.utils.gen_batches",
-    "sklearn.utils.gen_even_slices",
     "sklearn.utils.metaestimators.if_delegate_has_method",
 ]
 FUNCTION_DOCSTRING_IGNORE_LIST = set(FUNCTION_DOCSTRING_IGNORE_LIST)
diff --git a/sklearn/utils/__init__.py b/sklearn/utils/__init__.py
index 6f3c148a19025..da1f9c38bca47 100644
--- a/sklearn/utils/__init__.py
+++ b/sklearn/utils/__init__.py
@@ -746,21 +746,25 @@ def gen_batches(n, batch_size, *, min_batch_size=0):
 
 
 def gen_even_slices(n, n_packs, *, n_samples=None):
-    """Generator to create n_packs slices going up to n.
+    """Generator to create `n_packs` evenly spaced slices going up to `n`.
+
+    If `n_packs` does not divide `n`, except for the first `n % n_packs`
+    slices, remaining slices may contain fewer elements.
 
     Parameters
     ----------
     n : int
+        Size of the sequence.
     n_packs : int
         Number of slices to generate.
     n_samples : int, default=None
-        Number of samples. Pass n_samples when the slices are to be used for
+        Number of samples. Pass `n_samples` when the slices are to be used for
         sparse matrix indexing; slicing off-the-end raises an exception, while
         it works for NumPy arrays.
 
     Yields
     ------
-    slice
+    `slice` representing a set of indices from 0 to n.
 
     See Also
     --------