List available data cubes on LINDAS with their titles and descriptions. Use this to discover what datasets are available. Call get_cube_structure next to understand a cube's dimensions.

Get the structure of a specific data cube: its dimensions, measures, datatypes, and constraints. ALWAYS call this before query_observations to understand what dimensions and measures are available. The 'path' field in the result is the property URI you pass to query_observations, get_dimension_values, and as filter dimensions.

Get the distinct values for a dimension of a cube, with human-readable labels. Use this after get_cube_structure to discover what values you can filter on (e.g., which cantons, which years, which categories). Pass the 'path' value from get_cube_structure as dimension_path.

Query observations from a data cube with optional filtering and pagination. ALWAYS call get_cube_structure first to learn the cube's dimension and measure paths. Pass dimension paths in the 'dimensions' array and measure paths in the 'measures' array. Use get_dimension_values to find valid filter values.

Count the number of observations in a cube, optionally filtered. Use this BEFORE query_observations to check if a query will return a manageable number of results. If count is large, use filters to narrow down or use a smaller limit.

List all 26 Swiss cantons with their LINDAS IRIs and names. Use the returned IRIs to filter observations by canton in query_observations.

Resolve a place name to its LINDAS IRI. Works for cantons, municipalities, and districts. Use this when a user mentions a Swiss place name and you need its IRI to filter cube observations.

Full-text search across LINDAS cubes by title and description. Use this when looking for datasets about a specific topic (e.g., 'population', 'forest', 'unemployment').