diff --git a/backend/danswer/prompts/llm_chunk_filter.py b/backend/danswer/prompts/llm_chunk_filter.py
index 9f5568369..2783ac11e 100644
--- a/backend/danswer/prompts/llm_chunk_filter.py
+++ b/backend/danswer/prompts/llm_chunk_filter.py
@@ -5,7 +5,7 @@
 USEFUL_PAT = "Yes useful"
 NONUSEFUL_PAT = "Not useful"
 SECTION_FILTER_PROMPT = f"""
-Determine if the reference section is USEFUL for answering the user query.
+Determine if the following section is USEFUL for answering the user query.
 It is NOT enough for the section to be related to the query, \
 it must contain information that is USEFUL for answering the query.
 If the section contains ANY useful information, that is good enough, \
@@ -13,11 +13,8 @@ it does not need to fully answer the every part of the user query.
 
 
 Title: {{title}}
-
 {{optional_metadata}}
-
 Reference Section:
-
 ```
 {{chunk_text}}
 ```
diff --git a/backend/danswer/secondary_llm_flows/chunk_usefulness.py b/backend/danswer/secondary_llm_flows/chunk_usefulness.py
index 74e16311a..b97824402 100644
--- a/backend/danswer/secondary_llm_flows/chunk_usefulness.py
+++ b/backend/danswer/secondary_llm_flows/chunk_usefulness.py
@@ -20,11 +20,11 @@ def llm_eval_section(
     metadata: dict[str, str | list[str]],
 ) -> bool:
     def _get_metadata_str(metadata: dict[str, str | list[str]]) -> str:
-        metadata_str = "\n\nMetadata:\n"
+        metadata_str = "\nMetadata:\n"
         for key, value in metadata.items():
             value_str = ", ".join(value) if isinstance(value, list) else value
             metadata_str += f"{key} - {value_str}\n"
-        return metadata_str + "\nContent:"
+        return metadata_str
 
     def _get_usefulness_messages() -> list[dict[str, str]]:
         metadata_str = _get_metadata_str(metadata) if metadata else ""
@@ -32,7 +32,7 @@ def llm_eval_section(
             {
                 "role": "user",
                 "content": SECTION_FILTER_PROMPT.format(
-                    title=title,
+                    title=title.replace("\n", " "),
                     chunk_text=section_content,
                     user_query=query,
                     optional_metadata=metadata_str,