diff --git a/libs/community/langchain_community/chat_models/llamacpp.py b/libs/community/langchain_community/chat_models/llamacpp.py
index 03eb0054bae..1cdc357c1b5 100644
--- a/libs/community/langchain_community/chat_models/llamacpp.py
+++ b/libs/community/langchain_community/chat_models/llamacpp.py
@@ -531,15 +531,15 @@ class ChatLlamaCpp(BaseChatModel):
                 "schema must be specified when method is 'function_calling'. "
                 "Received None."
             )
-        llm = self.bind_tools([schema], tool_choice=True)
+        tool_name = convert_to_openai_tool(schema)["function"]["name"]
+        llm = self.bind_tools([schema], tool_choice=tool_name)
         if is_pydantic_schema:
             output_parser: OutputParserLike = PydanticToolsParser(
                 tools=[cast(Type, schema)], first_tool_only=True
             )
         else:
-            key_name = convert_to_openai_tool(schema)["function"]["name"]
             output_parser = JsonOutputKeyToolsParser(
-                key_name=key_name, first_tool_only=True
+                key_name=tool_name, first_tool_only=True
             )
 
         if include_raw:
diff --git a/libs/partners/anthropic/langchain_anthropic/chat_models.py b/libs/partners/anthropic/langchain_anthropic/chat_models.py
index d0b279f170a..d24fab015d9 100644
--- a/libs/partners/anthropic/langchain_anthropic/chat_models.py
+++ b/libs/partners/anthropic/langchain_anthropic/chat_models.py
@@ -986,7 +986,9 @@ class ChatAnthropic(BaseChatModel):
                 # }
 
         """  # noqa: E501
-        llm = self.bind_tools([schema], tool_choice="any")
+
+        tool_name = convert_to_anthropic_tool(schema)["name"]
+        llm = self.bind_tools([schema], tool_choice=tool_name)
         if isinstance(schema, type) and issubclass(schema, BaseModel):
             output_parser = ToolsOutputParser(
                 first_tool_only=True, pydantic_schemas=[schema]
diff --git a/libs/partners/fireworks/langchain_fireworks/chat_models.py b/libs/partners/fireworks/langchain_fireworks/chat_models.py
index c94d16a2d92..7eb7ae70f9f 100644
--- a/libs/partners/fireworks/langchain_fireworks/chat_models.py
+++ b/libs/partners/fireworks/langchain_fireworks/chat_models.py
@@ -884,15 +884,15 @@ class ChatFireworks(BaseChatModel):
                     "schema must be specified when method is 'function_calling'. "
                     "Received None."
                 )
-            llm = self.bind_tools([schema], tool_choice=True)
+            tool_name = convert_to_openai_tool(schema)["function"]["name"]
+            llm = self.bind_tools([schema], tool_choice=tool_name)
             if is_pydantic_schema:
                 output_parser: OutputParserLike = PydanticToolsParser(
                     tools=[schema], first_tool_only=True
                 )
             else:
-                key_name = convert_to_openai_tool(schema)["function"]["name"]
                 output_parser = JsonOutputKeyToolsParser(
-                    key_name=key_name, first_tool_only=True
+                    key_name=tool_name, first_tool_only=True
                 )
         elif method == "json_mode":
             llm = self.bind(response_format={"type": "json_object"})
diff --git a/libs/partners/groq/langchain_groq/chat_models.py b/libs/partners/groq/langchain_groq/chat_models.py
index d791a4c2075..6f758c93a13 100644
--- a/libs/partners/groq/langchain_groq/chat_models.py
+++ b/libs/partners/groq/langchain_groq/chat_models.py
@@ -1014,15 +1014,15 @@ class ChatGroq(BaseChatModel):
                     "schema must be specified when method is 'function_calling'. "
                     "Received None."
                 )
-            llm = self.bind_tools([schema], tool_choice=True)
+            tool_name = convert_to_openai_tool(schema)["function"]["name"]
+            llm = self.bind_tools([schema], tool_choice=tool_name)
             if is_pydantic_schema:
                 output_parser: OutputParserLike = PydanticToolsParser(
                     tools=[schema], first_tool_only=True
                 )
             else:
-                key_name = convert_to_openai_tool(schema)["function"]["name"]
                 output_parser = JsonOutputKeyToolsParser(
-                    key_name=key_name, first_tool_only=True
+                    key_name=tool_name, first_tool_only=True
                 )
         elif method == "json_mode":
             llm = self.bind(response_format={"type": "json_object"})
diff --git a/libs/partners/mistralai/langchain_mistralai/chat_models.py b/libs/partners/mistralai/langchain_mistralai/chat_models.py
index 5ae84c6d08f..5892aeeeb08 100644
--- a/libs/partners/mistralai/langchain_mistralai/chat_models.py
+++ b/libs/partners/mistralai/langchain_mistralai/chat_models.py
@@ -794,6 +794,8 @@ class ChatMistralAI(BaseChatModel):
                     "schema must be specified when method is 'function_calling'. "
                     "Received None."
                 )
+            # TODO: Update to pass in tool name as tool_choice if/when Mistral supports
+            # specifying a tool.
             llm = self.bind_tools([schema], tool_choice="any")
             if is_pydantic_schema:
                 output_parser: OutputParserLike = PydanticToolsParser(
diff --git a/libs/partners/openai/langchain_openai/chat_models/azure.py b/libs/partners/openai/langchain_openai/chat_models/azure.py
index 0d2632b9bf5..faa8d747c12 100644
--- a/libs/partners/openai/langchain_openai/chat_models/azure.py
+++ b/libs/partners/openai/langchain_openai/chat_models/azure.py
@@ -857,15 +857,15 @@ class AzureChatOpenAI(BaseChatOpenAI):
                     "schema must be specified when method is 'function_calling'. "
                     "Received None."
                 )
-            llm = self.bind_tools([schema], tool_choice=True)
+            tool_name = convert_to_openai_tool(schema)["function"]["name"]
+            llm = self.bind_tools([schema], tool_choice=tool_name)
             if is_pydantic_schema:
                 output_parser: OutputParserLike = PydanticToolsParser(
                     tools=[schema], first_tool_only=True
                 )
             else:
-                key_name = convert_to_openai_tool(schema)["function"]["name"]
                 output_parser = JsonOutputKeyToolsParser(
-                    key_name=key_name, first_tool_only=True
+                    key_name=tool_name, first_tool_only=True
                 )
         elif method == "json_mode":
             llm = self.bind(response_format={"type": "json_object"})
diff --git a/libs/partners/openai/langchain_openai/chat_models/base.py b/libs/partners/openai/langchain_openai/chat_models/base.py
index 1a1f9561ed1..c9f1045fbee 100644
--- a/libs/partners/openai/langchain_openai/chat_models/base.py
+++ b/libs/partners/openai/langchain_openai/chat_models/base.py
@@ -1140,15 +1140,17 @@ class BaseChatOpenAI(BaseChatModel):
                     "schema must be specified when method is 'function_calling'. "
                     "Received None."
                 )
-            llm = self.bind_tools([schema], tool_choice=True, parallel_tool_calls=False)
+            tool_name = convert_to_openai_tool(schema)["function"]["name"]
+            llm = self.bind_tools(
+                [schema], tool_choice=tool_name, parallel_tool_calls=False
+            )
             if is_pydantic_schema:
                 output_parser: OutputParserLike = PydanticToolsParser(
                     tools=[schema], first_tool_only=True
                 )
             else:
-                key_name = convert_to_openai_tool(schema)["function"]["name"]
                 output_parser = JsonOutputKeyToolsParser(
-                    key_name=key_name, first_tool_only=True
+                    key_name=tool_name, first_tool_only=True
                 )
         elif method == "json_mode":
             llm = self.bind(response_format={"type": "json_object"})