diff --git a/tests/unit/transform/test_base.py b/tests/unit/transform/test_base.py
index b0ae37d5..c3c14739 100644
--- a/tests/unit/transform/test_base.py
+++ b/tests/unit/transform/test_base.py
@@ -11,7 +11,7 @@
 
 class FakeTransform(Transform[_B, _C]):
     """
-    Fake Transform to test `required_keys` and `output_keys` when composing and conjuncting.
+    Fake ``Transform`` to test `required_keys` and `output_keys` when composing and conjuncting.
     """
 
     def __init__(self, required_keys: set[Tensor], output_keys: set[Tensor]):
@@ -34,6 +34,11 @@ def output_keys(self) -> set[Tensor]:
 
 
 def test_apply_keys():
+    """
+    Tests that a ``Transform`` checks that the provided dictionary to the `__apply__` function
+    contains keys that correspond exactly to `required_keys`.
+    """
+
     t1 = torch.randn([2])
     t2 = torch.randn([3])
     transform = FakeTransform({t1}, {t1, t2})
@@ -51,6 +56,11 @@ def test_apply_keys():
 
 
 def test_compose_keys_match():
+    """
+    Tests that the composition of ``Transform``s checks that the inner transform's `output_keys`
+    match with the outer transform's `required_keys`.
+    """
+
     t1 = torch.randn([2])
     t2 = torch.randn([3])
     transform1 = FakeTransform({t1}, {t1, t2})
@@ -63,6 +73,11 @@ def test_compose_keys_match():
 
 
 def test_conjunct_required_keys():
+    """
+    Tests that the conjunction of ``Transform``s checks that the provided transforms all havve the
+    same `required_keys`.
+    """
+
     t1 = torch.randn([2])
     t2 = torch.randn([3])
 
@@ -80,6 +95,11 @@ def test_conjunct_required_keys():
 
 
 def test_conjunct_wrong_output_keys():
+    """
+    Tests that the conjunction of ``Transform``s checks that the transforms `output_keys` are
+    disjoint.
+    """
+
     t1 = torch.randn([2])
     t2 = torch.randn([3])
 
@@ -97,6 +117,11 @@ def test_conjunct_wrong_output_keys():
 
 
 def test_conjunction_empty_transforms():
+    """
+    Tests that it is possible to take the conjunction of no transform, this should return an empty
+    dictionary.
+    """
+
     conjunction = Conjunction([])
 
     assert len(conjunction(TensorDict({}))) == 0