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": "numbers_translator", "description": "Converts a numerical text string into its spelled-out form using an external API.", "parameters": {"text": {"description": "Numerical text to be converted. Defaults to '23879908709817834'.", "type": "str, optional", "default": "23879908709817834"}}}, {"name": "get_post_by_id", "description": "Retrieves a post by its `post_id` using the FluentMe API.", "parameters": {"post_id": {"description": "The unique identifier of the post to retrieve.", "type": "str", "default": "P36288"}}}, {"name": "getrank", "description": "Fetches the contest rank of a LeetCode user.", "parameters": {"username": {"description": "The LeetCode username whose contest rank is to be fetched.", "type": "str", "default": "mujtabah258"}}}, {"name": "get_by_id", "description": "Retrieve certification details by ID using the Toolbench RapidAPI.", "parameters": {"is_id": {"description": "The ID of the certification to retrieve.", "type": "str", "default": ""}}}]
Translate the numerical text '1234567890' into its spelled-out form using the numbers_translator function.
user
assistant
[{"name": "numbers_translator", "arguments": {"text": "1234567890"}}]