test(integration): address round-4 review — type hints & small robustness

- Type the new helper signatures (CLAUDE.md A5): `mcp_client: Any` in
  document_is_searchable and `nc_mcp_client: Any` in _top_score.
- _top_score: guard the results list directly (`if not results`) instead of via
  total_found, so max() can't hit an empty sequence.
- _get_with_retry: replace `raise last_exc  # type: ignore` with an explicit
  `assert last_exc is not None` then raise — clearer intent, no suppressor.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

tests/integration/_search_helpers.py

@@ -6,12 +6,13 @@ the single-user sampling tests can import it.
 
 import json
 import logging
+from typing import Any
 
 logger = logging.getLogger(__name__)
 
 
 async def document_is_searchable(
-    mcp_client, search_term: str, note_id: int | None = None
+    mcp_client: Any, search_term: str, note_id: int | None = None
 ) -> bool:
     """Return True once a freshly-created document is retrievable.
 

tests/integration/test_astrolabe_session_jwt_search.py

@@ -57,7 +57,8 @@ async def _get_with_retry(
                 "GET %s failed (attempt %s/%s): %s", url, attempt, max_attempts, e
             )
             await anyio.sleep(2)
-    raise last_exc  # type: ignore[misc]
+    assert last_exc is not None  # loop ran at least once, so this is set
+    raise last_exc
 
 
 async def _astrolabe_configured(client: httpx.AsyncClient, auth) -> bool:

tests/integration/test_rag.py

@@ -405,7 +405,7 @@ async def test_retrieval_quality_all_queries(
     )
 
 
-async def _top_score(nc_mcp_client, query: str) -> float | None:
+async def _top_score(nc_mcp_client: Any, query: str) -> float | None:
     """Return the best fusion score for ``query``, or None if no results."""
     result = await nc_mcp_client.call_tool(
         "nc_semantic_search",
@@ -413,9 +413,10 @@ async def _top_score(nc_mcp_client, query: str) -> float | None:
     )
     assert result.isError is False
     data = json.loads(result.content[0].text)
-    if data["total_found"] == 0:
+    results = data.get("results", [])
+    if not results:  # guard the list directly, not via total_found
         return None
-    return max(r["score"] for r in data["results"])
+    return max(r["score"] for r in results)
 
 
 async def test_no_results_for_unrelated_query(nc_mcp_client, indexed_manual_pdf):