diff --git a/sentry_sdk/integrations/langchain.py b/sentry_sdk/integrations/langchain.py
index d0c5d7c4b4..21447a6655 100644
--- a/sentry_sdk/integrations/langchain.py
+++ b/sentry_sdk/integrations/langchain.py
@@ -641,6 +641,13 @@ def on_tool_start(
                     SPANDATA.GEN_AI_AGENT_NAME, agent_metadata["lc_agent_name"]
                 )
 
+            run_name = kwargs.get("name")
+            if run_name:
+                span.set_data(
+                    SPANDATA.GEN_AI_PIPELINE_NAME,
+                    run_name,
+                )
+
             if should_send_default_pii() and self.include_prompts:
                 set_data_normalized(
                     span,
diff --git a/tests/integrations/langchain/test_langchain.py b/tests/integrations/langchain/test_langchain.py
index e514b30958..a711ef0c7b 100644
--- a/tests/integrations/langchain/test_langchain.py
+++ b/tests/integrations/langchain/test_langchain.py
@@ -223,6 +223,33 @@ def test_langchain_chat(
     assert chat_spans[0]["data"]["gen_ai.pipeline.name"] == "my-snazzy-pipeline"
 
 
+def test_langchain_tool_call_with_run_name(
+    sentry_init,
+    capture_events,
+):
+    sentry_init(
+        integrations=[
+            LangchainIntegration(
+                include_prompts=True,
+            )
+        ],
+        traces_sample_rate=1.0,
+        send_default_pii=True,
+    )
+    events = capture_events()
+
+    with start_transaction():
+        get_word_length.invoke(
+            {"word": "eudca"},
+            config={"run_name": "my-snazzy-pipeline"},
+        )
+
+    tx = events[0]
+    tool_spans = list(x for x in tx["spans"] if x["op"] == "gen_ai.execute_tool")
+    assert len(tool_spans) == 1
+    assert tool_spans[0]["data"]["gen_ai.pipeline.name"] == "my-snazzy-pipeline"
+
+
 @pytest.mark.skipif(
     LANGCHAIN_VERSION < (1,),
     reason="LangChain 1.0+ required (ONE AGENT refactor)",