diff --git a/maint_tools/test_docstrings.py b/maint_tools/test_docstrings.py
index a658f13ac8912..55e7c3e18fbde 100644
--- a/maint_tools/test_docstrings.py
+++ b/maint_tools/test_docstrings.py
@@ -23,7 +23,6 @@
     "sklearn._config.get_config",
     "sklearn.base.clone",
     "sklearn.cluster._affinity_propagation.affinity_propagation",
-    "sklearn.cluster._agglomerative.linkage_tree",
     "sklearn.cluster._kmeans.k_means",
     "sklearn.cluster._kmeans.kmeans_plusplus",
     "sklearn.cluster._mean_shift.estimate_bandwidth",
diff --git a/sklearn/cluster/_agglomerative.py b/sklearn/cluster/_agglomerative.py
index 01799048a7f6b..a4a22c73e182f 100644
--- a/sklearn/cluster/_agglomerative.py
+++ b/sklearn/cluster/_agglomerative.py
@@ -429,11 +429,11 @@ def linkage_tree(
               observations of the two sets.
 
     affinity : str or callable, default='euclidean'
-        which metric to use. Can be 'euclidean', 'manhattan', or any
+        Which metric to use. Can be 'euclidean', 'manhattan', or any
         distance known to paired distance (see metric.pairwise).
 
     return_distance : bool, default=False
-        whether or not to return the distances between the clusters.
+        Whether or not to return the distances between the clusters.
 
     Returns
     -------