Improve linkedin post tool to fix the hard stop instead of a final answer

tools/linkedin_post_composer.py

@@ -4,8 +4,7 @@ class LinkedInPostPromptComposerTool(Tool):
     name = "linkedin_post_prompt_composer"
     description = (
         "Generates a detailed prompt by synthesizing conversation context, extracted webpage insights, "
-        "and additional instructions. This prompt can then be used by a separate final answer tool to produce "
-        "a polished LinkedIn post."
+        "and additional instructions. This prompt is intended for a final answer tool that produces a polished LinkedIn post."
     )
     inputs = {
         "context": {
@@ -36,7 +35,7 @@ class LinkedInPostPromptComposerTool(Tool):
     def forward(self, context: str, extracted_info: str, instructions: str = "") -> str:
         prompt = (
             "You are an experienced LinkedIn content strategist and influencer. Using the inputs provided, "
-            "generate a comprehensive prompt for an LLM to produce a final LinkedIn post that meets the following criteria:\n\n"
+            "generate a comprehensive final LinkedIn post that meets the following criteria:\n\n"
             "1. **Compelling Hook:** Begin with a strong headline or opening line that grabs attention.\n"
             "2. **Coherent Narrative:** Seamlessly blend the discussion context and the extracted information into a clear, engaging story.\n"
             "3. **Actionable Insights:** Offer actionable advice or takeaways that provide real value to a professional audience.\n"
@@ -49,7 +48,12 @@ class LinkedInPostPromptComposerTool(Tool):
         )
         if instructions:
             prompt += "**Additional Instructions:**\n" + instructions + "\n\n"
-        prompt += "Now, produce the final answer generating the LinkedIn post based on the above inputs."
+        prompt += (
+            "Now, **do not repeat any of the above input or instructions**. "
+            "Produce **only the final LinkedIn post** text below. "
+            "Ensure that your output is a polished, self-contained LinkedIn post without any extraneous text.\n\n"
+            "### FINAL LINKEDIN POST OUTPUT BELOW:\n"
+        )
         return prompt
 
     def __init__(self, *args, **kwargs):