diff --git a/src/mcp_agent/workflows/evaluator_optimizer/evaluator_optimizer.py b/src/mcp_agent/workflows/evaluator_optimizer/evaluator_optimizer.py
index 6d9a6d270..e70a12ea5 100644
--- a/src/mcp_agent/workflows/evaluator_optimizer/evaluator_optimizer.py
+++ b/src/mcp_agent/workflows/evaluator_optimizer/evaluator_optimizer.py
@@ -436,8 +436,7 @@ def _build_eval_prompt(
     ) -> str:
         """Build the evaluation prompt for the evaluator"""
         return f"""
-        Evaluate the following response based on these criteria:
-        {self.evaluator.instruction}
+        Evaluate the following response.
 
         Original Request: {original_request}
         Current Response (Iteration {iteration + 1}): {current_response}
diff --git a/tests/workflows/evaluator_optimizer/test_evaluator_optimizer.py b/tests/workflows/evaluator_optimizer/test_evaluator_optimizer.py
index 4b5faefa9..994d649d1 100644
--- a/tests/workflows/evaluator_optimizer/test_evaluator_optimizer.py
+++ b/tests/workflows/evaluator_optimizer/test_evaluator_optimizer.py
@@ -108,6 +108,21 @@ def test_build_eval_prompt(mock_optimizer, mock_evaluator):
     assert "Provide your evaluation as a structured response" in prompt
 
 
+
+def test_build_eval_prompt_does_not_repeat_evaluator_instruction(
+    mock_optimizer, mock_evaluator
+):
+    eo = EvaluatorOptimizerLLM(
+        optimizer=mock_optimizer,
+        evaluator=mock_evaluator,
+    )
+    prompt = eo._build_eval_prompt(
+        original_request="What is the capital of France?",
+        current_response="Paris",
+        iteration=0,
+    )
+    assert "Evaluate the following response." in prompt
+    assert "Evaluate this." not in prompt
 def test_build_refinement_prompt(mock_optimizer, mock_evaluator):
     eo = EvaluatorOptimizerLLM(
         optimizer=mock_optimizer,