diff --git a/libs/langchain-anthropic/src/tests/chat_models-tools.int.test.ts b/libs/langchain-anthropic/src/tests/chat_models-tools.int.test.ts
index bdf38b64b63e..a6cbdcbd956b 100644
--- a/libs/langchain-anthropic/src/tests/chat_models-tools.int.test.ts
+++ b/libs/langchain-anthropic/src/tests/chat_models-tools.int.test.ts
@@ -364,19 +364,25 @@ test("bindTools accepts openai formatted tool", async () => {
 });
 
 test("withStructuredOutput will always force tool usage", async () => {
-  const weatherTool = z.object({
-    location: z.string().describe("The name of city to get the weather for."),
-  }).describe("Get the weather of a specific location and return the temperature in Celsius.")
+  const weatherTool = z
+    .object({
+      location: z.string().describe("The name of city to get the weather for."),
+    })
+    .describe(
+      "Get the weather of a specific location and return the temperature in Celsius."
+    );
   const modelWithTools = model.withStructuredOutput(weatherTool, {
     name: "get_weather",
-    includeRaw: true
+    includeRaw: true,
   });
-  const response = await modelWithTools.invoke("What is the sum of 271623 and 281623? It is VERY important you use a calculator tool to give me the answer.");
+  const response = await modelWithTools.invoke(
+    "What is the sum of 271623 and 281623? It is VERY important you use a calculator tool to give me the answer."
+  );
 
   if (!("tool_calls" in response.raw)) {
-    throw new Error("Tool call not found in response")
+    throw new Error("Tool call not found in response");
   }
   const castMessage = response.raw as AIMessage;
   expect(castMessage.tool_calls).toHaveLength(1);
   expect(castMessage.tool_calls?.[0].name).toBe("get_weather");
-})
\ No newline at end of file
+});