Update tools.py

tools.py

@@ -24,7 +24,7 @@ YOUTUBE_FRAME_ASSESSMENT_MODEL = os.getenv("YOUTUBE_FRAME_ASSESSMENT_MODEL", "go
 YOUTUBE_CONFIRMATION_MODEL = os.getenv("YOUTUBE_CONFIRMATION_MODEL", "google/gemini-2.5-flash-preview-05-20")
 
 # Define Tools for the Agent
-@tool(parse_docstring=True)
+@tool(parse_docstring=True, error_on_invalid_docstring=False)
 def download_file_from_url(url: str, filename_override: str | None = None) -> str:
     """
     Downloads a file from a URL to a directory in the cwd. Prefer to use the filename associated with the URL, but can override if directed to.
@@ -97,7 +97,7 @@ def download_file_from_url(url: str, filename_override: str | None = None) -> st
         raise
     # ValueError will propagate if raised
 
-@tool(parse_docstring=True)
+@tool(parse_docstring=True, error_on_invalid_docstring=False)
 def basic_web_search(query: str, search_domains: list[str] | None = None) -> str:
     """
     Perform a web search using Tavily. Useful for retrieving relevant URLs and content summaries based on a search query.
@@ -139,7 +139,7 @@ def basic_web_search(query: str, search_domains: list[str] | None = None) -> str
     else:
         return "No results found. If the query is too specific, try a more general search term."
 
-@tool(parse_docstring=True)
+@tool(parse_docstring=True, error_on_invalid_docstring=False)
 def extract_url_content(url_list: list[str]) -> str:
     """
     Extracts the content from URLs using Tavily's extract tool.
@@ -225,7 +225,7 @@ def get_table_title(table_tag):
              
     return title
 
-@tool(parse_docstring=True)
+@tool(parse_docstring=True, error_on_invalid_docstring=False)
 def wikipedia_reader(url: str) -> str:
     """
     Extracts sections, paragraphs, and tables from a Wikipedia page.
@@ -324,7 +324,7 @@ class WhisperTranscriber:
         return cls._instance
 
 
-@tool(parse_docstring=True)
+@tool(parse_docstring=True, error_on_invalid_docstring=False)
 def transcribe_audio_file(file_path: str) -> str:
     """
     Transcribes an audio file to text using OpenAI's Whisper-large-v3 model, caching the model after the first load.
@@ -338,7 +338,7 @@ def transcribe_audio_file(file_path: str) -> str:
     return transcription.strip() if transcription else "No transcription available."
 
 
-@tool(parse_docstring=True)
+@tool(parse_docstring=True, error_on_invalid_docstring=False)
 def question_youtube_video(video_url: str, query: str) -> str:
     """
     Answers a question about a YouTube video.