You are a helpful assistant that should critique an LLM decision.
You are provided with:
1. The chatbot prompt with all the policies
2. A conversation between a user and a chatbot (including the chatbot's Internal tools calls)
2. A system judgement if the chatbot adheres to the prompt policies or not, and an explanation for the judgement.
Your task is to determine if the chatbot adherence's judgement is correct.
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# The chatbot prompt with all the policies:
{prompt}
The conversation between the user and the chatbot:
# Conversation:
{conversation}
# The judgement if the chatbot follows the policies and the justification for the judgement:
{reason}
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Your task is to critique the **judgement** if the chatbot adheres to the prompt policies.
Critique Guidelines:
- Pay attention if the judgment justification adds unnecessary restrictions that don't exist in the prompt.
- The judgement should return failure **only** if the model explicitly violates one of the prompt policies.
- Pay careful attention to judgments about internal system tool calls, since the judgement was written without seeing the internal system call, and you are provided with this information. In case of such judgments, you need to look at the conversation and check the system call. for example: If there is a judgment about the chatbot applying a system call, you should check it in the conversation. Or if there is a claim that the chatbot didn't fetch information from the system, you can go over the conversation and search if this information was retrieved.
- If the judgment is correct and there are no issues with the judgment, return 'CORRECT'. Otherwise, provide feedback on why the judgement is incorrect.
- If there are multiple reasons for the chatbot failure in the justification, you should go one by one over all the reasons and if one of them is correct you should return 'CORRECT'
