<purpose>
        Search World Bank Data360 for datasets. This is STEP 1 of 3 in the data retrieval workflow.
        Find indicator IDs and database IDs needed for subsequent data operations.
    </purpose>

    <workflow>
        <step number="1">search_datasets (this tool) - Find indicator ID and database ID</step>
        <step number="2">get_temporal_coverage - Check available years BEFORE retrieving data</step>
        <step number="3">retrieve_data - Fetch actual data with proper year and limit parameters</step>
    </workflow>

    <optimization_tips>
        <tip>Remove punctuation: "GDP, total" becomes "GDP total"</tip>
        <tip>Expand abbreviations: "GDP" becomes "Gross Domestic Product"</tip>
        <tip>Add "total" for aggregates: "population" becomes "population total"</tip>
        <tip>Use lowercase for consistency</tip>
        <tip>Remove filler words: "data", "statistics"</tip>
    </optimization_tips>

    <common_databases>
        <database id="WB_WDI">World Development Indicators (most comprehensive)</database>
        <database id="WB_HNP">Health, Nutrition and Population</database>
        <database id="WB_GDF">Global Development Finance</database>
    </common_databases>

    <examples>
        <example original="GDP">gross domestic product total</example>
        <example original="population data">population total</example>
        <example original="">poverty headcount ratio</example>
    </examples>

    <returns>
        List of datasets with indicator IDs, names, database IDs, and search scores.
    </returns>

    <next_step>
        Call get_temporal_coverage with the indicator and database from results.
    </next_step>

    CRITICAL: Always call this BEFORE retrieve_data to avoid errors.
    
    Workflow:
    1. search_datasets - Done ✓
    2. get_temporal_coverage (this tool) - Check what years are available
    3. retrieve_data - Use latest_year from this response
    
    Returns: start_year, end_year, latest_year, and full list of available years.
    Next step: Call retrieve_data with year=latest_year.
    

    This tool helps users discover commonly requested indicators without searching.
    Perfect for getting started or exploring what data is available.

    Categories included:
    - Demographics: Population, growth rate, density, fertility
    - Economy: GDP, GDP per capita, growth, inflation, trade
    - Health: Life expectancy, mortality rates (infant, under-5, maternal)
    - Education: Literacy rates, school enrollment
    - Labor: Unemployment, labor force participation, employment ratios
    - Poverty & Inequality: Poverty rates, Gini index, income distribution
    - Environment: Greenhouse gas emissions, forest area, renewable energy
    - Infrastructure: Electricity access, water, sanitation
    - Technology: Internet usage, mobile subscriptions, broadband

    Returns: List of 38 curated indicators with codes, names, descriptions, and categories.

    Usage: Browse the list, pick an indicator code, then use search_datasets
    to find the exact database ID before retrieving data.
    

    This is a FAST alternative to search_datasets that searches through locally cached
    metadata. Use this to discover what types of data are available before using the
    API search.

    How it works:
    - Searches indicator names, codes, and descriptions
    - Instant results (no API call)
    - Returns relevance-ranked matches

    Search tips:
    - Use simple keywords: "unemployment", "poverty", "co2", "water"
    - Search works on indicator names AND descriptions
    - Case-insensitive
    - More specific queries = better results

    Example queries:
    - "unemployment" → finds all unemployment-related indicators
    - "mortality infant" → finds infant mortality indicators
    - "internet" → finds internet usage indicators
    - "renewable energy" → finds renewable energy indicators

    Parameters:
    - query: Search term (e.g., "unemployment", "gdp growth", "water access")
    - limit: Maximum number of results to return (default: 20)

    Returns: List of matching indicators with codes, names, descriptions, and relevance scores.

    Note: This returns indicator codes but NOT database IDs. After finding an indicator,
    use search_datasets with the indicator name to get the database ID needed for data retrieval.