diff --git a/ml-agents/mlagents/envs/rpc_communicator.py b/ml-agents/mlagents/envs/rpc_communicator.py
index a9e85ef382..eb9f128c65 100644
--- a/ml-agents/mlagents/envs/rpc_communicator.py
+++ b/ml-agents/mlagents/envs/rpc_communicator.py
@@ -78,7 +78,8 @@ def initialize(self, inputs: UnityInput) -> UnityOutput:
             raise UnityTimeOutException(
                 "The Unity environment took too long to respond. Make sure that :\n"
                 "\t The environment does not need user interaction to launch\n"
-                "\t The Academy and the External Brain(s) are attached to objects in the Scene\n"
+                "\t The Academy's Broadcast Hub is configured correctly\n"
+                "\t The Agents are linked to the appropriate Brains\n"
                 "\t The environment and the Python interface have compatible versions.")
         aca_param = self.unity_to_external.parent_conn.recv().unity_output
         message = UnityMessage()
diff --git a/ml-agents/mlagents/envs/socket_communicator.py b/ml-agents/mlagents/envs/socket_communicator.py
index b2be530d71..913b74b615 100644
--- a/ml-agents/mlagents/envs/socket_communicator.py
+++ b/ml-agents/mlagents/envs/socket_communicator.py
@@ -45,7 +45,8 @@ def initialize(self, inputs: UnityInput) -> UnityOutput:
             raise UnityTimeOutException(
                 "The Unity environment took too long to respond. Make sure that :\n"
                 "\t The environment does not need user interaction to launch\n"
-                "\t The Academy and the External Brain(s) are attached to objects in the Scene\n"
+                "\t The Academy's Broadcast Hub is configured correctly\n"
+                "\t The Agents are linked to the appropriate Brains\n"
                 "\t The environment and the Python interface have compatible versions.")
         message = UnityMessage()
         message.header.status = 200