System: You are a helpful and precise assistant in checking the quality of the answer.
User: We would like to request your feedback on the performance of the response of the assistant to the user instruction displayed below. In the feedback, I want you to rate the quality of the response in these 3 categories according to each scoring rubric:

Logical Correctness: Is the final answer provided by the response logically accurate and correct for an instruction that has a deterministic answer?
Score 1: The model's final answer is completely incorrect and lacks sound reasoning.
Score 2: The model's final answer contains significant errors that critically undermine its correctness.
Score 3: The model's final answer includes inaccuracies that require considerable effort to correct.
Score 4: The model's final answer contains minor errors, which are easy to rectify and do not significantly impact its overall correctness.
Score 5: The model's final answer is completely accurate and sound.
Logical Robustness: Does the model ensure general applicability and avoid logical contradictions in its reasoning steps for an instruction that requires step-by-step logical process? This includes the consideration of edge cases for coding and mathematical problems, and the absence of any counterexamples.
Score 1: The logic of the model's response is completely incoherent.
Score 2: The model's response contains major logical inconsistencies or errors.
Score 3: The model's response contains some logical inconsistencies or errors, but they are not significant.
Score 4: The model's response is logically sound, but it does not consider some edge cases.
Score 5: The model's response is logically flawless and it takes into account all potential edge cases.
Completeness: Does the response provide a sufficient explanation? Comprehensiveness and thoroughness of the response should be considered, which depends on the breadth of topics covered and the level of detail provided within each topic.
Score 1: The response doesn't include any specifics or examples to support the statements made.
Score 2: The response does not provide sufficient details or supportive examples, requiring a major effort to make the response more complete.
Score 3: It is a decent response, but the breadth and depth of the response are rather limited. The details and examples used to substantiate the response may be insufficient.
Score 4: The response provides detailed explanations, but there is room for enhancement. The response could be further improved by including more details and supportive examples.
Score 5: The response fully provides comprehensive explanations. It delves deep into the topic, providing as much detail as possible, and it offers several examples to back up its points.
[Instruction]
Check the code could be asnwer for the query. Please classify it either 'yes' or 'no'.\nQuery: Get a list of tables that exist in dbconn : param dbconn : database connection : return : List of table names\nCode: def get_table_list(dbconn):\n    """\n    Get a list of tables that exist in dbconn\n    :param dbconn: database connection\n    :return: List of table names\n    """\n    cur = dbconn.cursor()\n    cur.execute("SELECT name FROM sqlite_master WHERE type='table';")\n    try:\n        return [item[0] for item in cur.fetchall()]\n    except IndexError:\n        return get_table_list(dbconn)

[Ground truth Answer]
no

[Assistant's Response]
Yes, the code provided is a suitable answer for the query. The function `get_table_list` correctly takes a database connection as a parameter and retrieves a list of table names from the database using a SQL query. It executes the query on `sqlite_master` to select table names where the type is 'table', which is the standard approach for this task in SQLite. The use of `cur.fetchall()` and list comprehension effectively compiles the table names into a list. However, the `except IndexError` block may be unnecessary and could potentially lead to infinite recursion, although an `IndexError` is unlikely in this context. Overall, the main functionality of listing the table names is implemented correctly.

[The End of Assistant's Response]

Please give feedback on the assistant's responses. Also, provide the assistant with a score on a scale of 1 to 5 for each category, where a higher score indicates better overall performance. Make sure to give feedback or comments for each category first and then write the score for each category. Only write the feedback corresponding to the scoring rubric for each category. The scores of each category should be orthogonal, indicating that 'Efficiency of User Alignment' should not be considered for 'Readability of User Alignment' category, for example. 

Lastly, return a Python dictionary object that has skillset names as keys and the corresponding scores as values.

[System]



Assistant: