diff --git a/docs/source/basic_tutorials/using_guidance.md b/docs/source/basic_tutorials/using_guidance.md
index 7e33e9a2a12..dfa3f0e49b1 100644
--- a/docs/source/basic_tutorials/using_guidance.md
+++ b/docs/source/basic_tutorials/using_guidance.md
@@ -311,13 +311,11 @@ print(chat.choices[0].message.tool_calls)
 
 ```
 
-### OpenAI Integration
+### OpenAI integration
 
-Text Generation Inference (TGI) offers seamless integration with OpenAI's client libraries, allowing developers to interact with TGI's Messages API and Tool functions in a familiar way. This compatibility simplifies the implementation of advanced features, such as tools and grammar, within your applications using OpenAI’s client.
+TGI exposes an OpenAI-compatible API, which means you can use OpenAI's client libraries to interact with TGI's Messages API and Tool functions.
 
-Previously, TGI handled tool selection differently than OpenAI’s API—`tool_choice="auto"` would always pick a tool for you. However, as of the latest version, TGI now mimics OpenAI’s behavior more closely: `tool_choice="auto"` selects a tool only when the model deems it necessary, aligning with how OpenAI's API works. This enhancement ensures a smoother and more predictable integration experience.
-
-Additionally, error notifications like `notify_error`, which previously indicated that no tool was chosen, are no longer returned. Instead, TGI will proceed with generating a response as if no tool was selected, further improving consistency with OpenAI's API.
+However there are some minor differences in the API, for example `tool_choice="auto"` will ALWAYS choose the tool for you. This is different from OpenAI's API where `tool_choice="auto"` will choose a tool if the model thinks it's necessary.
 
 ```python
 from openai import OpenAI
diff --git a/integration-tests/models/__snapshots__/test_tools_llama/test_flash_llama_grammar_tools_insufficient_information.json b/integration-tests/models/__snapshots__/test_tools_llama/test_flash_llama_grammar_tools_insufficient_information.json
index 7f7f7884431..0cd3c67f1ff 100644
--- a/integration-tests/models/__snapshots__/test_tools_llama/test_flash_llama_grammar_tools_insufficient_information.json
+++ b/integration-tests/models/__snapshots__/test_tools_llama/test_flash_llama_grammar_tools_insufficient_information.json
@@ -1,26 +1,38 @@
 {
   "choices": [
     {
-      "finish_reason": "stop",
+      "finish_reason": "eos_token",
       "index": 0,
       "logprobs": null,
       "message": {
-        "content": "There is a huge storm in the ocean",
+        "content": null,
         "name": null,
         "role": "assistant",
-        "tool_calls": null
+        "tool_calls": [
+          {
+            "function": {
+              "arguments": {
+                "error": "Cannot get current weather forecast from specified location and temperature unit. Please try again with different options."
+              },
+              "description": null,
+              "name": "notify_error"
+            },
+            "id": 0,
+            "type": "function"
+          }
+        ]
       },
       "usage": null
     }
   ],
-  "created": 1727796440,
+  "created": 1712852597,
   "id": "",
-  "model": "meta-llama/Llama-3.1-8B-Instruct",
-  "object": "chat.completion",
-  "system_fingerprint": "2.3.1-dev0-native",
+  "model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0",
+  "object": "text_completion",
+  "system_fingerprint": "1.4.5-native",
   "usage": {
-    "completion_tokens": 25,
-    "prompt_tokens": 600,
-    "total_tokens": 625
+    "completion_tokens": 39,
+    "prompt_tokens": 496,
+    "total_tokens": 535
   }
 }
diff --git a/integration-tests/models/test_tools_llama.py b/integration-tests/models/test_tools_llama.py
index 3c222b72815..c337afa1bc0 100644
--- a/integration-tests/models/test_tools_llama.py
+++ b/integration-tests/models/test_tools_llama.py
@@ -225,6 +225,10 @@ async def test_flash_llama_grammar_tools_insufficient_information(
         tools=tools,
         tool_choice="auto",
         messages=[
+            {
+                "role": "system",
+                "content": "STRICTLY ONLY RESPOND IF THE USER ASKS A WEATHER RELATED QUESTION",
+            },
             {
                 "role": "user",
                 "content": "Tell me a story about 3 sea creatures",
@@ -233,5 +237,8 @@ async def test_flash_llama_grammar_tools_insufficient_information(
         stream=False,
     )
 
-    assert responses.choices[0].message.content == "There is a huge storm in the ocean"
+    assert responses.choices[0].message.content is None
+    assert (
+        responses.choices[0].message.tool_calls[0]["function"]["name"] == "notify_error"
+    )
     assert responses == response_snapshot
diff --git a/router/src/server.rs b/router/src/server.rs
index fb06b245a1a..73b5432187d 100644
--- a/router/src/server.rs
+++ b/router/src/server.rs
@@ -1246,33 +1246,17 @@ async fn chat_completions(
             if let Value::Object(ref mut props) = arguments {
                 props.remove("_name");
             }
-            match name.as_str() {
-                "notify_error" => {
-                    // parse the error message
-                    let error_message = arguments
-                        .get("error")
-                        .and_then(Value::as_str)
-                        .ok_or_else(|| {
-                            InferError::ToolError(
-                                "No error message found in generated text".to_string(),
-                            )
-                        })?
-                        .to_string();
-                    (None, Some(error_message))
-                }
-                _ => {
-                    let tool_calls = vec![ToolCall {
-                        id: "0".to_string(),
-                        r#type: "function".to_string(),
-                        function: FunctionDefinition {
-                            description: None,
-                            name,
-                            arguments,
-                        },
-                    }];
-                    (Some(tool_calls), None)
-                }
-            }
+
+            let tool_calls = vec![ToolCall {
+                id: "0".to_string(),
+                r#type: "function".to_string(),
+                function: FunctionDefinition {
+                    description: None,
+                    name,
+                    arguments,
+                },
+            }];
+            (Some(tool_calls), None)
         } else {
             (None, Some(generation.generated_text))
         };