diff --git a/tests/e2e/llm_translation/test_image_generation_e2e.py b/tests/e2e/llm_translation/test_image_generation_e2e.py
index 15cf20aa65a..46561ccbc37 100644
--- a/tests/e2e/llm_translation/test_image_generation_e2e.py
+++ b/tests/e2e/llm_translation/test_image_generation_e2e.py
@@ -24,7 +24,10 @@ from sdk_clients import SdkClients
 pytestmark = pytest.mark.e2e
 
 OPENAI_IMAGE_BACKEND: Final = "openai/gpt-image-1-mini"
-BEDROCK_IMAGE_BACKEND: Final = "bedrock/amazon.nova-canvas-v1:0"
+BEDROCK_IMAGE_BACKEND: Final = "bedrock/stability.stable-image-core-v1:1"
+# Nova Canvas reached end of life on 2026-09-30. Stable Image Core is active on Bedrock only in us-west-2:
+# https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-stability-ai-stable-image-core-1-0.html (2026-10-16)
+BEDROCK_IMAGE_REGION: Final = "us-west-2"
 
 
 class _OptionalImageBody(BaseModel):
@@ -96,10 +99,10 @@ class TestImageGeneration:
                 model=BEDROCK_IMAGE_BACKEND,
                 aws_access_key_id="os.environ/AWS_ACCESS_KEY_ID",
                 aws_secret_access_key="os.environ/AWS_SECRET_ACCESS_KEY",
-                aws_region_name="os.environ/AWS_REGION",
+                aws_region_name=BEDROCK_IMAGE_REGION,
             ),
         )
-        images = sdk.openai(key).images.generate(model=model, prompt="Draw a cute cat", n=1, size="1024x1024")
+        images = sdk.openai(key).images.generate(model=model, prompt="Draw a cute cat")
         _assert_image_returned(images)
 
     @pytest.mark.skip(reason="stage red: product gap, /v1/images/generations 500s (aimage_generation TypeError) on missing prompt instead of 400")
diff --git a/tests/e2e/mcp/test_mcp_tool_search_e2e.py b/tests/e2e/mcp/test_mcp_tool_search_e2e.py
index 847239e8a66..c4a8e29eb82 100644
--- a/tests/e2e/mcp/test_mcp_tool_search_e2e.py
+++ b/tests/e2e/mcp/test_mcp_tool_search_e2e.py
@@ -3,6 +3,7 @@ from __future__ import annotations
 from typing import Final
 
 import pytest
+from pydantic import BaseModel, ConfigDict, TypeAdapter
 from datadog_mcp import SEARCH_LOGS_TOOL, register_datadog_mcp
 from e2e_config import provider_edge_base, unique_marker
 from e2e_http import unwrap
@@ -17,6 +18,19 @@ MCP_TOOL_SEARCH_TOOL_NAME: Final = "mcp_tool_search"
 OVERSIZED_DESCRIPTION: Final = f"OVERSIZED {'weather ' * 12_000}"
 
 
+class _SearchHit(BaseModel):
+    model_config = ConfigDict(frozen=True)
+
+    name: str
+
+
+_SEARCH_HITS: Final = TypeAdapter(tuple[_SearchHit, ...])
+
+
+def _hits_tool(hits: tuple[_SearchHit, ...], tool_name: str) -> bool:
+    return any(hit.name.endswith(f"-{tool_name}") for hit in hits)
+
+
 class TestMcpToolSearch:
     @pytest.mark.covers("mcp.tool_search.api_key.oversized_description_omitted")
     def test_native_tool_search_omits_oversized_description(
@@ -82,5 +96,6 @@ class TestMcpToolSearch:
         )
 
         assert result.is_error is not True, result.all_text
-        assert normal_tool_name in result.all_text
-        assert oversized_tool_name not in result.all_text
+        hits: Final = _SEARCH_HITS.validate_json(result.all_text)
+        assert _hits_tool(hits, normal_tool_name), hits
+        assert not _hits_tool(hits, oversized_tool_name), hits