Update function.py

Author: andy-fisher

src/yandex_cloud_ml_sdk/_tools/function.py

@@ -31,8 +31,7 @@ def __call__(
         Create a function tool with given parameters.
 
         :param parameters: Function parameters specification. Can be one of:
-            - JSON Schema dict: A dictionary containing a valid JSON schema that describes
-              the function parameters, their types, descriptions, and validation rules.
+            - JSON Schema dict: A dictionary containing a valid JSON schema that describes the function parameters, their types, descriptions, and validation rules.
             - Pydantic BaseModel class: A class inheriting from pydantic.BaseModel.
               The JSON schema will be automatically generated from the model definition.
             - Pydantic dataclass: A dataclass decorated with @pydantic.dataclasses.dataclass.
@@ -46,8 +45,7 @@ def __call__(
             - For JSON Schema dict: taken from the 'description' field in the schema if present.
             - For Pydantic models: automatically inferred from the class docstring if present.
 
-        :param strict: Whether to enforce strict parameter validation. When True, the function
-            call will strictly validate that only the defined parameters are provided.
+        :param strict: Whether to enforce strict parameter validation. When True, the function call will strictly validate that only the defined parameters are provided.
         """
         schema = schema_from_parameters(parameters)
         description_ = (