diff --git a/dev_gpt/options/generate/pm/pm.py b/dev_gpt/options/generate/pm/pm.py
index 95a2ef7..2c98628 100644
--- a/dev_gpt/options/generate/pm/pm.py
+++ b/dev_gpt/options/generate/pm/pm.py
@@ -1,13 +1,14 @@
 from dev_gpt.apis import gpt
 from dev_gpt.apis.gpt import ask_gpt
 from dev_gpt.options.generate.chains.auto_refine_description import auto_refine_description
+from dev_gpt.options.generate.chains.get_user_input_if_needed import get_user_input_if_needed
 from dev_gpt.options.generate.chains.question_answering import is_question_true
 from dev_gpt.options.generate.chains.translation import translation
 from dev_gpt.options.generate.chains.user_confirmation_feedback_loop import user_feedback_loop
-from dev_gpt.options.generate.chains.get_user_input_if_needed import get_user_input_if_needed
 from dev_gpt.options.generate.parser import identity_parser, json_parser, self_healing_json_parser
 from dev_gpt.options.generate.pm.task_tree_schema import TaskTree
 from dev_gpt.options.generate.prompt_factory import make_prompt_friendly
+from dev_gpt.options.generate.templates_user import generate_used_tools_prompt
 from dev_gpt.options.generate.ui import get_random_employee
 
 
@@ -61,18 +62,29 @@ Description of the microservice:
             question_gen='Generate a question that requests for an example file url.',
             extension_name='Input Example',
         )
+        used_tools = self.get_used_tools(microservice_description)
         microservice_description += self.user_input_extension_if_needed(
             {
                 'Microservice description': microservice_description,
             },
-            condition_question='''\
-Besides interacting with the Google Custom Search and GPT-3.5 Turbo APIs, does the microservice make requests to any other APIs?''',
-            question_gen='Generate a question that asks for the endpoint of the external API and an example of a request and response when interacting with the external API.',
+            condition_question=f'''{
+            (f"Other than interacting with {' and '.join(used_tools)}, does the microservice interface with any additional external APIs?")
+            if used_tools else "Based on the microservice description, does the microservice interface with external APIs"
+            }''',
+            question_gen='Generate a question that asks for the endpoint of the API and an example of a request and response when interacting with the API.',
             extension_name='Example of API usage',
-            post_transformation_fn=translation(from_format='api instruction', to_format='python code snippet raw without formatting')
+            post_transformation_fn=translation(from_format='api instruction',
+                                               to_format='python code snippet raw without formatting')
         )
         return microservice_description, test_description
 
+    def get_used_tools(self, microservice_description):
+        return ask_gpt(
+            generate_used_tools_prompt,
+            self_healing_json_parser,
+            microservice_description=microservice_description
+        )
+
     def user_input_extension_if_needed(
             self,
             context,
@@ -103,8 +115,6 @@ Microservice description:
 {microservice_description}
 ```'''
 
-
-
 generate_test_assertion_prompt = client_description + '''
 Request json schema:
 ```
@@ -121,6 +131,7 @@ Note: the generated description must be less than 30 words long.
 Example:
 "Input for func is a base64 encoded image. The test asserts that the output of func is of type 'str'".'''
 
+
 # def get_nlp_fns(self, microservice_description):
 #     return ask_gpt(
 #         get_nlp_fns_prompt,
@@ -167,6 +178,7 @@ def construct_sub_task_tree(self, microservice_description):
     sub_task_tree = TaskTree.parse_obj(sub_task_tree_updated)
     return sub_task_tree
 
+
 # def get_additional_task_info(self, sub_task_description):
 #     additional_info_dict = self.get_additional_infos(
 #         description=sub_task_description,
@@ -257,7 +269,6 @@ def construct_sub_task_tree(self, microservice_description):
 #             print('Sorry, I can not handle this feedback. Please formulate it more precisely.')
 
 
-
 # better_description_prompt = client_description + '''
 # Update the description of the Microservice to make it more precise without adding or removing information.'''
 
diff --git a/dev_gpt/options/generate/templates_user.py b/dev_gpt/options/generate/templates_user.py
index 59f80bd..a708748 100644
--- a/dev_gpt/options/generate/templates_user.py
+++ b/dev_gpt/options/generate/templates_user.py
@@ -547,3 +547,20 @@ Note that prompt.json must only contain one question.
 {custom_suffix}
 '''
 )
+
+generate_used_tools_prompt = '''\
+Microservice description: 
+{microservice_description}
+
+Question:
+Respond with a list as JSON idicating which of the APIs [google_custom_search, gpt_3_5_turbo] are mentioned in the description.
+Example 1:
+["google_custom_search", "gpt_3_5_turbo"]
+Example 2:
+["google_custom_search"]
+Example 3:
+["gpt_3_5_turbo"]
+Example 4:
+[]
+'''
+
diff --git a/test/unit/test_yes_no_question.py b/test/unit/test_yes_no_question.py
index 716ee92..6c62fe1 100644
--- a/test/unit/test_yes_no_question.py
+++ b/test/unit/test_yes_no_question.py
@@ -17,7 +17,7 @@ The summary is returned as a string. \
 The microservice uses the Yahoo Finance API to fetch the stock data and Python libraries to calculate the average closing price and generate the summary. \
 The request parameter is "stock_symbol" and the response parameter is "summary".
 ```
-''', 'Besides interacting with the Google Custom Search and GPT-3.5 Turbo APIs, does the microservice make requests to any other APIs?'
+''', 'Based on the microservice description, does the microservice interface with APIs?'
     )
 
 def test_answer_yes_no_question_2(tmpdir):