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": "etsy", "description": "Checks if a given username is available on Etsy using the Toolbench RapidAPI service.", "parameters": {"username": {"description": "The username to be checked for availability on Etsy.", "type": "str", "default": "username"}}}, {"name": "motivation_quote", "description": "Fetches a motivational quote from the Olato Quotes API.", "parameters": {"quotes": {"description": "Type of quotes to fetch. Default is 'random quotes'.", "type": "str", "default": "random quotes"}}}, {"name": "get_post_likes", "description": "Fetches the likes for a specific post on Twitter using the given post ID.", "parameters": {"count": {"description": "The number of likes to fetch.", "type": "str", "default": "40"}, "pid": {"description": "The post ID for which to fetch likes.", "type": "str", "default": "1552735248026411010"}, "cursor": {"description": "A cursor for paginating through the results. Defaults to None.", "type": "str, optional", "default": ""}}}]
Fetch the likes for a Twitter post with ID '123456' and check the availability of the username 'janesmith' on Etsy.
user
assistant
[{"name": "get_post_likes", "arguments": {"count": "10", "pid": "123456"}}, {"name": "etsy", "arguments": {"username": "janesmith"}}]