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": "tweet_retweeters", "description": "Fetches the list of retweeters for a given tweet.", "parameters": {"is_id": {"description": "The ID of the tweet for which to fetch retweeters.", "type": "str", "default": "1485953263040188416"}, "count": {"description": "The number of results to return. Defaults to 20.", "type": "int, optional", "default": "20"}, "cursor": {"description": "The cursor for pagination to fetch additional results. Defaults to None.", "type": "str, optional", "default": ""}}}, {"name": "love_quote", "description": "Fetches and returns love quotes from the olato-quotes API.", "parameters": {"quotes": {"description": "Specific quotes to search for. Defaults to 'random quotes'.", "type": "str", "default": "random quotes"}}}]
Imagine you're a social media manager who wants to analyze the reach of a recent tweet from your company's account. The tweet ID is '1234567890'. Can you find out who retweeted it and how many people retweeted it? Additionally, please provide a few love quotes to share in a future tweet.
user
assistant
[{"name": "tweet_retweeters", "arguments": {"is_id": "1234567890", "count": 100}}, {"name": "love_quote", "arguments": {}}]