diff --git a/src/lmstudio/json_api.py b/src/lmstudio/json_api.py
index d6c954e..1218eb4 100644
--- a/src/lmstudio/json_api.py
+++ b/src/lmstudio/json_api.py
@@ -162,6 +162,7 @@
     "PredictionRoundResult",
     "PromptProcessingCallback",
     "SerializedLMSExtendedError",
+    "ToolDefinition",
     "ToolFunctionDef",
     "ToolFunctionDefDict",
 ]
@@ -1361,6 +1362,9 @@ def _additional_config_options(cls) -> DictObject:
         return {"for_text_completion": True}
 
 
+ToolDefinition: TypeAlias = ToolFunctionDef | ToolFunctionDefDict | Callable[..., Any]
+
+
 class ChatResponseEndpoint(PredictionEndpoint[TPrediction]):
     """API channel endpoint for requesting a chat response from a model."""
 
@@ -1371,7 +1375,7 @@ class ChatResponseEndpoint(PredictionEndpoint[TPrediction]):
     # TODO: Consider implementing this conversion in _kv_config.py
     @staticmethod
     def parse_tools(
-        tools: Iterable[ToolFunctionDef | ToolFunctionDefDict | Callable[..., Any]],
+        tools: Iterable[ToolDefinition],
     ) -> tuple[LlmToolUseSettingToolArray, ClientToolMap]:
         """Split tool function definitions into server and client details."""
         if not tools:
diff --git a/src/lmstudio/sync_api.py b/src/lmstudio/sync_api.py
index 85467bd..a744b8f 100644
--- a/src/lmstudio/sync_api.py
+++ b/src/lmstudio/sync_api.py
@@ -103,8 +103,7 @@
     RemoteCallHandler,
     TModelInfo,
     TPrediction,
-    ToolFunctionDef,
-    ToolFunctionDefDict,
+    ToolDefinition,
     check_model_namespace,
     load_struct,
     _model_spec_to_api_dict,
@@ -1547,7 +1546,7 @@ def respond(
     def act(
         self,
         chat: Chat | ChatHistoryDataDict | str,
-        tools: Iterable[ToolFunctionDef | ToolFunctionDefDict],
+        tools: Iterable[ToolDefinition],
         *,
         max_prediction_rounds: int | None = None,
         config: LlmPredictionConfig | LlmPredictionConfigDict | None = None,