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A CI code-review bot is prompted with: "Flag any code that looks problematic or risky." It floods pull requests with false positives. According to prompt-engineering best practice, what is the most effective fix?
A
Replace the vague instruction with explicit categorical criteria that enumerate exactly which issue types to flag (e.g., SQL built by concatenating user input, hardcoded credentials) and state that anything outside those categories should not be flagged
B
Increase max_tokens so the model has more room to reason before flagging
C
Run the same vague prompt twice and flag only issues found both times
D
Add the sentence "Please be very careful and accurate" to the prompt