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": "independent_samples_t_test", "description": "Conducts a two-sample independent t-test and returns the t-statistic, p-value, and conclusion.", "parameters": {"sample1": {"description": "The first sample of observations.", "type": "List[float]", "default": 0.05}, "sample2": {"description": "The second sample of observations.", "type": "List[float]", "default": 0.05}, "alpha": {"description": "The significance level of the test. Defaults to 0.05.", "type": "float, optional"}}}, {"name": "cagr", "description": "Calculates the Compound Annual Growth Rate (CAGR) of an investment.", "parameters": {"start_value": {"description": "The initial value of the investment.", "type": "float"}, "end_value": {"description": "The final value of the investment.", "type": "float"}, "years": {"description": "The number of years between the initial and final values.", "type": "int"}}}]
Calculate the Compound Annual Growth Rate (CAGR) for an investment that started at $1000 and ended at $2000 over 5 years.
user
assistant
[{"name": "cagr", "arguments": {"start_value": 1000, "end_value": 2000, "years": 5}}]