Use this tool when you need synthetic financial users, savings goals and
transactions for Latin American fintech testing, QA, demos,
machine-learning experiments, data pipelines or agent evaluation. The output
is fully synthetic: it is sampled from aggregate distributions and contains
no personally identifiable information and no real records.

Args:
    users: Number of synthetic users to generate. Use 1 to 200.
    seed: Random seed for reproducible datasets. The same seed and
        parameters always return the same dataset.
    countries: Optional list of Latin American countries to include,
        for example ["Colombia", "Mexico"].
    start_date: Optional ISO start date of the generated period,
        for example "2023-01-01".
    end_date: Optional ISO end date of the generated period,
        for example "2024-12-31".

Returns:
    Synthetic users, linked savings goals, linked transactions,
    and dataset row counts.

Use this tool to inspect which tables, columns, goal categories and
countries are available before generating data. It performs no generation
and takes no arguments.

Returns:
    Table columns, relationships, goal categories, available countries
    and the privacy policy of the generated data.