diff --git a/pytensor/tensor/random/utils.py b/pytensor/tensor/random/utils.py
index 9ddedb34b1..abbe6de702 100644
--- a/pytensor/tensor/random/utils.py
+++ b/pytensor/tensor/random/utils.py
@@ -129,7 +129,8 @@ def explicit_expand_dims(
     """Introduce explicit expand_dims in RV parameters that are implicitly broadcasted together and/or by size."""
 
     batch_dims = [
-        param.type.ndim - ndim_param for param, ndim_param in zip(params, ndim_params)
+        param.type.ndim - ndim_param
+        for param, ndim_param in zip(params, ndim_params, strict=True)
     ]
 
     if size_length is not None:
diff --git a/tests/tensor/random/test_op.py b/tests/tensor/random/test_op.py
index 2160cb83fe..36f111ecdb 100644
--- a/tests/tensor/random/test_op.py
+++ b/tests/tensor/random/test_op.py
@@ -74,9 +74,9 @@ def test_RandomVariable_basics(strict_test_value_flags):
     # `dtype` is respected
     rv = RandomVariable("normal", signature="(),()->()", dtype="int32")
     with config.change_flags(compute_test_value="off"):
-        rv_out = rv()
+        rv_out = rv(0, 0)
         assert rv_out.dtype == "int32"
-        rv_out = rv(dtype="int64")
+        rv_out = rv(0, 0, dtype="int64")
         assert rv_out.dtype == "int64"
 
         with pytest.raises(
@@ -85,6 +85,10 @@ def test_RandomVariable_basics(strict_test_value_flags):
         ):
             assert rv(dtype="float32").dtype == "float32"
 
+    # If we pass fewer arguments (and there are no defaults), an error is raised
+    with pytest.raises(ValueError):
+        rv(0)
+
 
 def test_RandomVariable_bcast(strict_test_value_flags):
     rv = RandomVariable("normal", 0, [0, 0], config.floatX, inplace=True)