Update app.py

app.py

@@ -73,9 +73,9 @@ PDF pages:
                     {
                         "role": "user",
                         "content": (
-                            [{"type": "text", "text": PROMPT.format(query=query)}] +
-                            [{"type": "image_url",
-                              "image_url": {"url": f"data:image/jpeg;base64,{im}"}}
+                            [{"type": "input_text", "text": PROMPT.format(query=query)}] +
+                            [{"type": "input_image",
+                              "image_url": f"data:image/jpeg;base64,{im}"}
                              for im in base64_images]
                         )
                     }
@@ -155,12 +155,11 @@ def index_from_url(url: str) -> tuple[str, str]:
 # -----------------------------
 def search(query: str, k: int):
     """
-    Search the current database of PDF document pages for the most relevant content and
-    generate an answer grounded ONLY in those pages.
+    Search within a PDF document for the most relevant pages to answer a query and synthetizes a short grounded answer using only those pages.
 
     MCP tool description:
-      - name: search
-      - description: Retrieve top-k PDF pages relevant to a query and answer using only those pages.
+      - name: mcp_test_search
+      - description: Search within a PDF document for the most relevant pages to answer a query and synthetizes a short grounded answer using only those pages.
       - input_schema:
           type: object
           properties:
@@ -173,7 +172,7 @@ def search(query: str, k: int):
         k (int): Number of top results to return (1–10).
 
     Returns:
-        ai_response (str): Answer grounded only in retrieved pages, with citations (page numbers).
+        ai_response (str): Text answer to the query grounded in content from the PDF, with citations (page numbers).
     """
     global ds, images