diff --git a/src/interface.jl b/src/interface.jl
index 88e343d..845d217 100644
--- a/src/interface.jl
+++ b/src/interface.jl
@@ -395,7 +395,6 @@ function evaluator(state::T1, text2textInstructLLM::Function
     - Do not generate additional thoughts or actions.
   2) Answer_evaluation: 
     - Focus only on the matter mentioned in the question and comprehensively analyze how the latest observation's details addresses the question
-    - State your rationale
   3) Accepted_as_answer: Decide whether the latest observation's content answers the question. Can be "Yes" or "No"
     Bad example (The observation didn't answers the question):
       question: Find cars with 4 wheels.
@@ -471,16 +470,15 @@ function evaluator(state::T1, text2textInstructLLM::Function
 
     responsedict = GeneralUtils.textToDict(response, header; 
                                             dictKey=dictkey, symbolkey=true)
-
-    # check if dict has all required value
-    trajectoryevaluation_text::AbstractString = responsedict[:trajectory_evaluation]
-    answerevaluation_text::AbstractString = responsedict[:answer_evaluation]
-    # responsedict[:score] = replace(responsedict[:score], r"\(.*?\)" => "")  # remove (...) if there is any.
+    
     responsedict[:score] = responsedict[:score][1]  # some time "6\nThe trajectories are incomplete" is generated but I only need the number.
-    responsedict[:score] = parse(Int, responsedict[:score]) # convert string "5" into integer 5
-    score::Integer = responsedict[:score]
+    try
+      responsedict[:score] = parse(Int, responsedict[:score]) # convert string "5" into integer 5
+    catch
+      continue
+    end
+
     accepted_as_answer::AbstractString = responsedict[:accepted_as_answer]
-    suggestion::AbstractString = responsedict[:suggestion]
 
     if accepted_as_answer ∉ ["Yes", "No"] # [PENDING] add errornote into the prompt
       error("generated accepted_as_answer has wrong format")
@@ -872,9 +870,9 @@ function query(query::T, executeSQL::Function, text2textInstructLLM::Function;
   earlystop(state) = state[:reward] >= 8 ? true : false
 
   _, _, resultState = LLMMCTS.runMCTS(initialstate, transition, transitionargs;
-                      horizontalSampleExpansionPhase=3, 
+                      horizontalSampleExpansionPhase=5, 
                       horizontalSampleSimulationPhase=2,
-                      maxSimulationDepth=10, 
+                      maxSimulationDepth=5, 
                       maxiterations=1, 
                       explorationweight=1.0,
                       earlystop=earlystop,
diff --git a/test/runtest.jl b/test/runtest.jl
index 59dc514..31b0b20 100644
--- a/test/runtest.jl
+++ b/test/runtest.jl
@@ -51,9 +51,9 @@ function text2textInstructLLM(prompt::String; maxattempt=3)
     )
   )
 
-  response = nothing  #[WORKING] receive nothing when LLM container reset
+  response = nothing
   for attempts in 1:maxattempt
-    _response = GeneralUtils.sendReceiveMqttMsg(outgoingMsg; timeout=120, maxattempt=2)
+    _response = GeneralUtils.sendReceiveMqttMsg(outgoingMsg; timeout=180, maxattempt=2)
     response = _response[:response][:text]
     if response !== nothing
       break
@@ -157,7 +157,7 @@ sessionId = "555"
 
 
 # query = Dict(:text=> "How many wines from France do you have that can be paired with lamb?")
-query = "How many wines are from France?"
+query = "How many French wines do you have?"
 # query = "retailer: Yiem, wine_type: red, sweetness: 1-2, intensity: 4-5, wine price: 20-40"
 # query = "wine_type: white, country: United States, sweetness: 1-2, tannin: 3, food to be served with wine: pizza"
 # query = "wine_type: white, country: Austria, food to be served with wine: pork"