diff --git a/litellm/llms/ollama/completion/transformation.py b/litellm/llms/ollama/completion/transformation.py
index 7d35a7fc4f9..83f77b1ef62 100644
--- a/litellm/llms/ollama/completion/transformation.py
+++ b/litellm/llms/ollama/completion/transformation.py
@@ -473,7 +473,7 @@ class _OllamaJsonModeToolCall(BaseModel):
     model_config = ConfigDict(extra="forbid")
 
     name: str
-    arguments: dict[str, object]
+    arguments: dict[str, object]  # mutable-ok: mirrors Ollama's arbitrary JSON argument object
 
 
 def _build_tool_call(response_text: str, tool_names: frozenset[str]) -> ChatCompletionToolCallChunk | None:
diff --git a/litellm/utils.py b/litellm/utils.py
index 1ddba30c6da..5cfce42379e 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -3915,7 +3915,7 @@ def pre_process_optional_params(passed_params: dict, non_default_params: dict, c
                     non_default_params.pop("tool_choice", None)  # causes ollama requests to hang
                 elif "functions" in non_default_params:
                     optional_params["functions_unsupported_model"] = non_default_params.pop("functions")
-                optional_params["prompted_tool_calls"] = optional_params.get("functions_unsupported_model") or []
+                optional_params["prompted_tool_calls"] = optional_params.get("functions_unsupported_model") or []  # mutable-ok: fresh per-request list; empty means no tools offered
             elif litellm.add_function_to_prompt:  # if user opts to add it to prompt instead
                 optional_params["functions_unsupported_model"] = non_default_params.pop(
                     "tools", non_default_params.pop("functions", None)