Update app.py

app.py

@@ -163,6 +163,7 @@ def search(query: str, k: int = 5) -> List[int]:
     # Score and select top-k
     scores = processor.score(q_vecs, ds, device=device)
     top_k_indices = scores[0].topk(k).indices.tolist()
+    print(query, top_k_indices)
 
     # Neighbor expansion for context
     base = set(top_k_indices)
@@ -180,7 +181,7 @@ def get_pages(indices: List[int]) -> Dict[str, Any]:
     Return page images (as data URLs) for the given 0-based indices.
 
     MCP tool description:
-      - name: mcp_get_pages
+      - name: mcp_test_get_pages
       - description: Given 0-based indices from mcp_test_search, return the corresponding page images as data URLs for vision reasoning.
       - input_schema:
           type: object
@@ -196,6 +197,7 @@ def get_pages(indices: List[int]) -> Dict[str, Any]:
       {"images": [{"index": int, "page": int, "image_url": str}], "count": int}
     """
     global images
+    print("indices to get", indices)
 
     if not images:
         return {"images": [], "count": 0}