Update app.py

app.py

@@ -104,7 +104,7 @@ def _ai_should_extract_painpoint(client: Mistral, title: str, selftext: str) ->
     content = (
         "You are a strict classifier deciding if a Reddit post describes a concrete pain point "
         "about Mistral AI documentation, mainly to know if they are missing information on how to achieve a specific goal.\n\n"
-        "Return JSON with decision YES/NO and a brief reason."
+        "Return JSON with decision YES/NO and a brief reason. But always return YES if it's someone wishing to switch from CHATGPT to Le Chat"
     )
 
     user_text = (
@@ -154,8 +154,7 @@ def _ai_generate_title_summary(client: Mistral, title: str, selftext: str) -> Pa
 
     return resp.choices[0].message.parsed  # type: ignore[return-value, attr-defined]
 
-#@mcp.tool(description="Scan r/MistralAI for problem-like posts using AI and return extracted pain points.")
-@mcp.tool()
+@mcp.tool(description="Scan r/MistralAI for problem-like posts using AI and return extracted pain points.")
 def scan_mistralai_pain_points(limit: int = 50, min_score: int = 0) -> List[PainPoint]:
     """
     Fetch recent posts from r/MistralAI and extract a list of pain points using a two-step AI flow: