diff --git a/clearml_serving/engines/triton/triton_helper.py b/clearml_serving/engines/triton/triton_helper.py
index c765627..879174b 100644
--- a/clearml_serving/engines/triton/triton_helper.py
+++ b/clearml_serving/engines/triton/triton_helper.py
@@ -444,6 +444,36 @@ class TritonHelper(object):
             return "BYTES"
         return None
 
+    @staticmethod
+    def triton_to_np_dtype(dtype):
+        if dtype == "BOOL":
+            return bool
+        elif dtype == "INT8":
+            return np.int8
+        elif dtype == "INT16":
+            return np.int16
+        elif dtype == "INT32":
+            return np.int32
+        elif dtype == "INT64":
+            return np.int64
+        elif dtype == "UINT8":
+            return np.uint8
+        elif dtype == "UINT16":
+            return np.uint16
+        elif dtype == "UINT32":
+            return np.uint32
+        elif dtype == "UINT64":
+            return np.uint64
+        elif dtype == "FP16":
+            return np.float16
+        elif dtype == "FP32":
+            return np.float32
+        elif dtype == "FP64":
+            return np.float64
+        elif dtype == "BYTES":
+            return np.object_
+        return None
+
 
 def main():
     title = 'clearml-serving - Nvidia Triton Engine Controller'
diff --git a/clearml_serving/serving/model_request_processor.py b/clearml_serving/serving/model_request_processor.py
index 2bac29f..e7d1103 100644
--- a/clearml_serving/serving/model_request_processor.py
+++ b/clearml_serving/serving/model_request_processor.py
@@ -1292,6 +1292,63 @@ class ModelRequestProcessor(object):
         Raise exception if validation fails, otherwise return True
         """
         if endpoint.engine_type in ("triton", ):
+            if endpoint.auxiliary_cfg:
+                aux_config_dict = {}
+
+                if isinstance(endpoint.auxiliary_cfg, dict):
+                    aux_config_dict = endpoint.auxiliary_cfg
+                elif isinstance(endpoint.auxiliary_cfg, str):
+                    from clearml.utilities.pyhocon import ConfigFactory
+
+                    # noinspection PyBroadException
+                    try:
+                        aux_config_dict = ConfigFactory.parse_string(endpoint.auxiliary_cfg)
+                    except Exception:
+                        # we failed parsing the auxiliary pbtxt
+                        aux_config_dict = {}
+
+                if aux_config_dict.get("input", None) or aux_config_dict.get("output", None):
+                    # noinspection PyBroadException
+                    try:
+                        from ..engines.triton.triton_helper import TritonHelper
+
+                        suggested_cli_in = {"name": [], "dims": [], "data_type": []}
+                        suggested_cli_out = {"name": [], "dims": [], "data_type": []}
+                        for layer in aux_config_dict.get("input", None) or []:
+                            suggested_cli_in["name"] += ['"{}"'.format(layer["name"])]
+                            suggested_cli_in["data_type"] += [
+                                TritonHelper.triton_to_np_dtype(layer["data_type"].replace("TYPE_", "", 1)).__name__]
+                            suggested_cli_in["dims"] += ['"{}"'.format(layer["dims"])]
+
+                        for layer in aux_config_dict.get("output", None) or []:
+                            suggested_cli_out["name"] += ['"{}"'.format(layer["name"])]
+                            suggested_cli_out["data_type"] += [
+                                TritonHelper.triton_to_np_dtype(layer["data_type"].replace("TYPE_", "", 1)).__name__]
+                            suggested_cli_out["dims"] += ['"{}"'.format(layer["dims"])]
+
+                        suggested_cli = "Add to your command line: "\
+                            "--input-name {} --input-type {} --input-size {} " \
+                            "--output-name {} --output-type {} --output-size {} ".format(
+                                " ".join(suggested_cli_in["name"]),
+                                " ".join(suggested_cli_in["data_type"]),
+                                " ".join(suggested_cli_in["dims"]),
+                                " ".join(suggested_cli_out["name"]),
+                                " ".join(suggested_cli_out["data_type"]),
+                                " ".join(suggested_cli_out["dims"]),
+                            )
+                    except Exception:
+                        suggested_cli = "?"
+
+                    raise ValueError(
+                        "Triton engine requires *manual* input/output specification, "
+                        "You input/output in your pbtxt, please remove them and specify manually.\n"
+                        "{}".format(suggested_cli)
+                    )
+
+                if aux_config_dict.get("default_model_filename", None):
+                    raise ValueError("ERROR: You have `default_model_filename` in your config pbtxt, "
+                                     "please remove it. It will be added automatically by the system.")
+
             # verify we have all the info we need
             d = endpoint.as_dict()
             missing = [
@@ -1300,7 +1357,8 @@ class ModelRequestProcessor(object):
                     'output_type', 'output_size', 'output_name',
                 ] if not d.get(k)
             ]
-            if not endpoint.auxiliary_cfg and missing:
+
+            if missing:
                 raise ValueError("Triton engine requires input description - missing values in {}".format(missing))
         return True