Update tools.py

tools.py

@@ -82,35 +82,25 @@ def get_retriever():
 # =========================
 
 def create_rag_tool():
-
     @tool
     def rag_search(query: str) -> str:
-        """
-        Retrieve relevant information from the uploaded document.
-
-        Use this tool when the user asks questions related to the uploaded PDF
-        or any document-based knowledge. If no document is available or no
-        relevant information is found, return an appropriate message.
-        """
+        """Retrieve information from uploaded document."""
         global retriever
 
         if retriever is None:
             return "No document uploaded yet."
 
         docs = retriever.invoke(query)
-
         if not docs:
-            return "No relevant information found in the uploaded document."
+            return "No relevant information found."
 
-        # 🔥 FIXED: Just return the content, NOT the prompt template
         context = "\n\n".join(d.page_content for d in docs)
         
-        # Return clean context for the LLM to use
-        return context
+        # 🔥 Add instruction for LLM to process this
+        return f"[DOCUMENT CONTEXT - Summarize this clearly for the user]:\n{context}"
 
     return rag_search
 
-
 # =========================
 # EXTERNAL TOOLS
 # =========================