fix: agents system_prompt

agents/BookRetriverAgent.py

@@ -23,9 +23,9 @@ def generate_agent(vector_store):
     tools = [get_retrieve_book_context_tool(vector_store)]
     prompt = """
         You are a knowledge retriever agent, you must always provide context related answers, using the tools provided.
-        You have access to a tool that retrieves context from books.
         You must always use this tool for reliable information to answer any query.
-        Always prioritize data coming from your tools
+        Always prioritize data coming from your tools.
+        Dont use the same tool more than once.
     """
     return create_agent(
         model=llm,

app.py

@@ -42,9 +42,13 @@ class GradioAgent:
             get_summarization_tool()
         ]
 
-        prompt = ("You are a helpful and usefull coordinator agent, you have access to a collection of tools and"
-                  " agents to help you with reliable data to your query's. "
-                  "One of your main objectives is to generate user friendly answers based on the information you have.")
+        prompt = (
+            "You are a smart and friendly coordinator agent. "
+            "You have access to a collection of tools and specialized agents that help you provide accurate and reliable information. "
+            "You always communicate clearly, in a friendly and engaging tone — using short paragraphs, smooth transitions, and light emoji to make your answers pleasant and easy to read. "
+            "Keep the technical accuracy of your responses, but present them in a natural, conversational way. "
+            "Your main goal is to generate user-friendly and informative answers based on the data you gather."
+        )
 
         return create_agent(
             tools=tools,