Google AI Studio: Prompt Tuning and Evaluation

Help me systematically improve this prompt for use in Google AI Studio. Apply this evaluation framework:

**Current Prompt**: [PASTE YOUR PROMPT]

**Evaluation Criteria** (score each 1-10):
1. **Clarity**: Is the instruction unambiguous? Could it be interpreted multiple ways?
2. **Specificity**: Does it provide enough detail about the expected output format, length, and style?
3. **Context**: Does it give the model sufficient background to respond accurately?
4. **Constraints**: Are the boundaries clear (what to include, what to avoid)?
5. **Examples**: Are few-shot examples provided for complex tasks?
6. **Edge Cases**: Does it handle unusual inputs gracefully?

**Improvement Process**:
1. Score the current prompt on each criterion
2. Identify the weakest areas
3. Rewrite the prompt addressing each weakness
4. Add system instructions if applicable
5. Create 3 test cases (easy, medium, hard) to validate the improvement
6. Suggest temperature and top_p settings for this use case

**Output**: Provide the improved prompt, a before/after comparison, and the test cases with expected outputs.