diff --git a/libs/standard-tests/langchain_standard_tests/integration_tests/chat_models.py b/libs/standard-tests/langchain_standard_tests/integration_tests/chat_models.py
index 7929dfcba53..e1a99772d6a 100644
--- a/libs/standard-tests/langchain_standard_tests/integration_tests/chat_models.py
+++ b/libs/standard-tests/langchain_standard_tests/integration_tests/chat_models.py
@@ -1,9 +1,10 @@
+import json
 from abc import ABC, abstractmethod
 from typing import Type
 
 import pytest
 from langchain_core.language_models import BaseChatModel
-from langchain_core.messages import AIMessage, AIMessageChunk
+from langchain_core.messages import AIMessage, AIMessageChunk, HumanMessage, ToolMessage
 from langchain_core.pydantic_v1 import BaseModel, Field
 from langchain_core.tools import tool
 
@@ -115,3 +116,38 @@ class ChatModelIntegrationTests(ABC):
             assert isinstance(result, AIMessage)
             assert isinstance(result.content, str)
             assert len(result.content) > 0
+
+    def test_tool_message(
+        self,
+        chat_model_class: Type[BaseChatModel],
+        chat_model_params: dict,
+        chat_model_has_tool_calling: bool,
+    ) -> None:
+        if not chat_model_has_tool_calling:
+            pytest.skip("Test requires tool calling.")
+        model = chat_model_class(**chat_model_params)
+        model_with_tools = model.bind_tools([my_adder_tool])
+        function_name = "my_adder_tool"
+        function_args = {"a": "1", "b": "2"}
+
+        messages = [
+            HumanMessage(content="What is 1 + 2"),
+            AIMessage(
+                content="",
+                tool_calls=[
+                    {
+                        "name": function_name,
+                        "args": function_args,
+                        "id": "abc123",
+                    },
+                ],
+            ),
+            ToolMessage(
+                name=function_name,
+                content=json.dumps({"result": 3}),
+                tool_call_id="abc123",
+            ),
+        ]
+
+        result = model_with_tools.invoke(messages)
+        assert isinstance(result, AIMessage)