diff --git a/src/google/adk/evaluation/hallucinations_v1.py b/src/google/adk/evaluation/hallucinations_v1.py
index 5e32389316..e0a77b6ff1 100644
--- a/src/google/adk/evaluation/hallucinations_v1.py
+++ b/src/google/adk/evaluation/hallucinations_v1.py
@@ -45,6 +45,7 @@
 from .evaluator import Evaluator
 from .evaluator import PerInvocationResult
 from .llm_as_judge_utils import get_eval_status
+from .llm_as_judge_utils import get_grounding_metadata_as_json_str
 from .llm_as_judge_utils import get_text_from_content
 from .llm_as_judge_utils import get_tool_declarations_as_json_str
 
@@ -126,7 +127,8 @@
 3. **For each label, provide a short rationale explaining your decision.** The rationale should be separate from the excerpt.
 4. **Be very strict with your `supported`, `contradictory` and `disputed` decisions.** Unless you can find straightforward, indisputable evidence excepts *in the context* that a sentence is `supported`, `contradictory` or `disputed`, consider it `unsupported`.  You should not employ world knowledge unless it is truly trivial.
 5. "tool_outputs" blocks contain code execution results of the "tool_code" blocks immediately above them. If any sentence is based on "tool_outputs" results, first analyze if the corresponding "tool_code" is supported and if the results are error-free. Only if the "tool_code" block is supported, you can treat code execution results as correct.
-6. If you need to cite multiple supporting excerpts, simply concatenate them. Excerpt could be summary from the context if it is too long.
+6. "Grounding metadata" is trusted evidence from model-internal tools (e.g. search) whose results may not otherwise appear in "tool_outputs". A sentence entailed by "Grounding metadata" should be treated as `supported`.
+7. If you need to cite multiple supporting excerpts, simply concatenate them. Excerpt could be summary from the context if it is too long.
 
 **Input Format:**
 
@@ -447,6 +449,10 @@ def _create_context_for_step(
     )
     context_parts.append("Tool definitions:")
     context_parts.append(f"{tool_declarations}\n")
+    context_parts.append("Grounding metadata:")
+    context_parts.append(
+        f"{get_grounding_metadata_as_json_str(InvocationEvents(invocation_events=events))}\n"
+    )
 
     for event in events:
       if not event.content or not event.content.parts:
diff --git a/tests/unittests/evaluation/test_hallucinations_v1.py b/tests/unittests/evaluation/test_hallucinations_v1.py
index b7a1c42f47..7be71a4a8d 100644
--- a/tests/unittests/evaluation/test_hallucinations_v1.py
+++ b/tests/unittests/evaluation/test_hallucinations_v1.py
@@ -362,6 +362,9 @@ def test_create_context_for_intermediate_step(
   }
 }
 
+Grounding metadata:
+No grounding metadata was provided.
+
 tool_calls:
 [
   {
@@ -414,6 +417,9 @@ def test_create_context_for_final_step(
   }
 }
 
+Grounding metadata:
+No grounding metadata was provided.
+
 tool_calls:
 [
   {
@@ -458,6 +464,30 @@ def test_create_context_for_final_step(
     """
     assert context.strip() == expected_context.strip()
 
+  def test_create_context_for_step_includes_grounding_metadata(
+      self, hallucinations_metric, create_context_data
+  ):
+    """Sentences grounded only via grounding_metadata must reach the judge."""
+    app_details, events, invocation = create_context_data
+    grounding_event = InvocationEvent(
+        author="root",
+        content=None,
+        grounding_metadata=genai_types.GroundingMetadata(
+            web_search_queries=["recent AI news"]
+        ),
+    )
+    context = hallucinations_metric._create_context_for_step(
+        app_details, invocation, events + [grounding_event]
+    )
+    grounding_section = context.split("Grounding metadata:\n")[1].split(
+        "\n\ntool_calls:"
+    )[0]
+    parsed = json.loads(grounding_section)
+    assert parsed["grounding_metadata"][0]["author"] == "root"
+    assert parsed["grounding_metadata"][0]["grounding_metadata"][
+        "web_search_queries"
+    ] == ["recent AI news"]
+
 
 @pytest.fixture
 def agent_tree_data():
@@ -623,7 +653,10 @@ async def test_evaluate_invocations_multi_agents(
     ],
     "agent2": []
   }
-}"""
+}
+
+Grounding metadata:
+No grounding metadata was provided."""
     expected_context5 = R"""Developer instructions:
 root:
 Root agent instructions.
@@ -662,6 +695,9 @@ async def test_evaluate_invocations_multi_agents(
   }
 }
 
+Grounding metadata:
+No grounding metadata was provided.
+
 Hi, I am root.
 
 tool_calls:
@@ -739,6 +775,9 @@ async def test_evaluate_invocations_multi_agents(
   }
 }
 
+Grounding metadata:
+No grounding metadata was provided.
+
 Hi, I am root.
 
 tool_calls:
@@ -872,6 +911,9 @@ async def test_evaluate_invocations_agent_tree_skip_intermediate(
   }
 }
 
+Grounding metadata:
+No grounding metadata was provided.
+
 Hi, I am root.
 
 tool_calls:
@@ -1080,6 +1122,9 @@ async def test_evaluate_invocations_time_weather(
   }
 }
 
+Grounding metadata:
+No grounding metadata was provided.
+
 tool_calls:
 [
   {
@@ -1125,6 +1170,9 @@ async def test_evaluate_invocations_time_weather(
   }
 }
 
+Grounding metadata:
+No grounding metadata was provided.
+
 tool_calls:
 [
   {
@@ -1243,6 +1291,9 @@ async def test_evaluate_invocations_time_weather_skip_intermediate(
   }
 }
 
+Grounding metadata:
+No grounding metadata was provided.
+
 tool_calls:
 [
   {