diff --git a/python/packages/azure-ai/agent_framework_azure_ai/_foundry_evals.py b/python/packages/azure-ai/agent_framework_azure_ai/_foundry_evals.py
index b060e72366..2d44d3cb8a 100644
--- a/python/packages/azure-ai/agent_framework_azure_ai/_foundry_evals.py
+++ b/python/packages/azure-ai/agent_framework_azure_ai/_foundry_evals.py
@@ -313,7 +313,7 @@ def _extract_per_evaluator(run: Any) -> dict[str, dict[str, int]]:
     if per_testing_criteria is None:
         return per_eval
     try:
-        items = cast(list[Any], per_testing_criteria) if isinstance(per_testing_criteria, list) else []
+        items = cast(list[Any], per_testing_criteria) if isinstance(per_testing_criteria, list) else []  # type: ignore[redundant-cast]
         for item in items:
             name: str = str(getattr(item, "name", None) or getattr(item, "testing_criteria", "unknown"))
             counts = _extract_result_counts(item)
diff --git a/python/packages/core/agent_framework/_evaluation.py b/python/packages/core/agent_framework/_evaluation.py
index b5ebb72668..7d60079ff1 100644
--- a/python/packages/core/agent_framework/_evaluation.py
+++ b/python/packages/core/agent_framework/_evaluation.py
@@ -759,7 +759,7 @@ def _extract_agent_eval_data(
             agent_exec_response: AgentExecutorResponse | None = None
 
             if isinstance(completion_data, list):
-                for cdata_item in cast(list[Any], completion_data):
+                for cdata_item in cast(list[Any], completion_data):  # type: ignore[redundant-cast]
                     if isinstance(cdata_item, AgentExecutorResponse):
                         agent_exec_response = cdata_item
                         break
@@ -807,7 +807,7 @@ def _extract_overall_query(workflow_result: WorkflowRunResult) -> str | None:
             if isinstance(data, str):
                 return data
             if isinstance(data, list) and data:
-                items_list = cast(list[Any], data)
+                items_list = cast(list[Any], data)  # type: ignore[redundant-cast]
                 first = items_list[0]
                 if isinstance(first, Message):
                     msgs: list[Message] = [m for m in items_list if isinstance(m, Message)]
@@ -1209,7 +1209,7 @@ def evaluator(
     """
 
     def _wrap(func: Callable[..., Any]) -> EvalCheck:
-        check_name = name or getattr(func, "__name__", "evaluator")
+        check_name: str = name or getattr(func, "__name__", None) or "evaluator"
 
         async def _check(item: EvalItem) -> CheckResult:
             kwargs = _resolve_function_args(func, item)
@@ -1218,7 +1218,7 @@ def evaluator(
                 result = await result
             return _coerce_result(result, check_name)
 
-        _check.__name__ = check_name  # type: ignore[attr-defined]
+        _check.__name__ = check_name  # type: ignore[attr-defined,assignment]
         _check.__doc__ = func.__doc__
         return _check
 
@@ -1769,7 +1769,7 @@ def _build_overall_item(
     final_output: Any = outputs[-1]
     overall_response: AgentResponse[None]
     if isinstance(final_output, list) and final_output and isinstance(final_output[0], Message):
-        msgs: list[Message] = [m for m in cast(list[Any], final_output) if isinstance(m, Message)]
+        msgs: list[Message] = [m for m in cast(list[Any], final_output) if isinstance(m, Message)]  # type: ignore[redundant-cast]
         response_text = " ".join(str(m.text) for m in msgs if m.role == "assistant")
         overall_response = AgentResponse(messages=[Message("assistant", [response_text])])
     elif isinstance(final_output, AgentResponse):