diff --git a/python/mxnet/contrib/onnx/mx2onnx/_op_translations.py b/python/mxnet/contrib/onnx/mx2onnx/_op_translations.py
index eb50f94746d0..3baf10a10d39 100644
--- a/python/mxnet/contrib/onnx/mx2onnx/_op_translations.py
+++ b/python/mxnet/contrib/onnx/mx2onnx/_op_translations.py
@@ -810,7 +810,7 @@ def convert_l2normalization(node, **kwargs):
     mode = attrs.get("mode", "instance")
 
     if mode != "channel":
-        raise AttributeError("ONNX currently supports channel mode only")
+        raise AttributeError("L2Normalization: ONNX currently supports channel mode only")
 
     l2norm_node = onnx.helper.make_node(
         "LpNormalization",
@@ -1302,7 +1302,7 @@ def convert_reshape(node, **kwargs):
 
     for val in output_shape_list:
         if val in not_supported_shape:
-            raise AttributeError("Shape value not supported in ONNX", val)
+            raise AttributeError("Reshape: Shape value not supported in ONNX", val)
 
     reshape_node = onnx.helper.make_node(
         "Reshape",
@@ -1428,7 +1428,7 @@ def convert_squeeze(node, **kwargs):
 
     axis = attrs.get("axis", None)
     if not axis:
-        raise AttributeError("Missing axis attribute: ONNX currently requires axis to "
+        raise AttributeError("Squeeze: Missing axis attribute: ONNX currently requires axis to "
                              "be specified for squeeze operator")
     axis = convert_string_to_list(axis)
 
@@ -1679,7 +1679,7 @@ def convert_logsoftmax(node, **kwargs):
     axis = int(attrs.get("axis", -1))
     temp = attrs.get("temperature", 'None')
     if temp != 'None':
-        raise AttributeError("ONNX supports only temperature=None")
+        raise AttributeError("LogSoftMax: ONNX supports only temperature=None")
 
     node = onnx.helper.make_node(
         'LogSoftmax',