You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions.
system
[{"name": "mean_confidence_interval", "description": "Calculates the confidence interval for a sample mean.", "parameters": {"std_dev": {"description": "The standard deviation of the sample.", "type": "float", "default": 0.95}, "sample_size": {"description": "The size of the sample.", "type": "int", "default": 0.95}, "mean": {"description": "The mean of the sample.", "type": "float"}, "confidence": {"description": "The desired confidence level. Default is 0.95.", "type": "float, optional"}}}, {"name": "investment_profit", "description": "Calculates the profit from an investment based on the initial amount, annual return rate, and time.", "parameters": {"amount": {"description": "The initial investment amount.", "type": "float"}, "rate": {"description": "The annual return rate expressed as a decimal.", "type": "float"}, "years": {"description": "The number of years the investment is held.", "type": "int"}}}, {"name": "is_power_of_two", "description": "Checks if a number is a power of two.", "parameters": {"num": {"description": "The number to check.", "type": "int"}}}, {"name": "max_points_on_line", "description": "Finds the maximum number of points that lie on the same straight line.", "parameters": {"points": {"description": "A list of points represented as tuples (x, y).", "type": "List[Tuple[int, int]]"}}}, {"name": "triangle_area", "description": "Computes the area of a triangle given its base and height.", "parameters": {"base": {"description": "The length of the base of the triangle.", "type": "float"}, "height": {"description": "The height of the triangle.", "type": "float"}}}]
What is the confidence interval for a sample with a standard deviation of 1.2, a mean of 35, and a sample size of 75? Assume a confidence level of 0.99.
user
assistant
[{"name": "mean_confidence_interval", "arguments": {"std_dev": 1.2, "sample_size": 75, "mean": 35, "confidence": 0.99}}]