List all 51 disease topics available in the BAG Infectious Disease Dashboard (IDD). Returns the topic slug needed for other tools, grouped by category (respiratory, enteric, STI, vector-borne, wastewater). Discover what diseases are available before querying data.Start here; the topic slugs returned are required inputs for the other tools.bag_health_mcp__list_diseases() -> categories incl. 'influenza', 'measles', 'covid19'.

List all available data series for a specific disease topic. Each series is identified by 'topic/chapter/aggregation/temporality'. Returns series IDs to use with bag_health_mcp__get_series_details and bag_health_mcp__get_disease_data.Find which exact series exist for a disease (e.g. weekly cases vs yearly incidence) before fetching data.Needs a valid topic slug from bag_health_mcp__list_diseases.bag_health_mcp__list_series(topic='influenza') -> 'influenza/cases/incValue/iso_week', ...

Get metadata and available filter values for a specific data series. Shows which canton, age group, sex, and other dimensions are available. Always call this before bag_health_mcp__get_disease_data to know valid filter options.Learn the valid filter values (cantons, age groups, sex) for a series so a subsequent data query uses accepted parameters.Available dimensions vary by series — always check here rather than assuming.bag_health_mcp__get_series_details(series_id='influenza/cases/incValue/iso_week') -> cantons=['ZH','BE',...], age_groups=[...].

Fetch time-series surveillance data for a disease from the BAG IDD. Returns weekly or yearly case counts, incidence rates, or other metrics. Data updated every Wednesday. Get the actual numbers/trend for a disease in a canton over time — the core data-retrieval tool.Call bag_health_mcp__get_series_details first for valid filters. 'incValue' = incidence per 100'000; 'value' = absolute count.bag_health_mcp__get_disease_data(series_id='influenza/cases/incValue/iso_week', canton='ZH') -> weekly influenza incidence for Zurich.

List all available export file names from the BAG IDD. These are complete datasets (CSV/JSON) per disease, e.g. INFLUENZA_oblig, COVID19_wastewater_sequencing, MEASLES_oblig. Use with bag_health_mcp__download_export to get raw data files.Discover which complete bulk datasets can be downloaded for offline/bulk analysis.Returns file names, not the data — pass one to bag_health_mcp__download_export.bag_health_mcp__list_export_files() -> ['INFLUENZA_oblig', 'COVID19_wastewater_sequencing', ...].

Download a complete export dataset from the BAG IDD as CSV or JSON. Returns the raw data content for a specific disease file. Useful for bulk analysis. Files are updated weekly.Retrieve a full raw dataset (all rows) for one disease for downstream/offline analysis.The preview is truncated at 3000 chars; for very large datasets use the IDD web interface. Get file names from bag_health_mcp__list_export_files.bag_health_mcp__download_export(file='INFLUENZA_oblig', format='csv') -> raw CSV content.

Get the current data version of the BAG IDD. Returns the date of the last data update (format YYYYMMDD). IDD is updated every Wednesday.Check how fresh the data is / which weekly snapshot you are looking at.Data is updated only weekly (Wednesdays); not real-time.bag_health_mcp__get_data_version() -> version='20260325', date='2026-03-25'.

Get a public health situation overview for a specific canton or Switzerland. Combines current incidence data for key school-relevant diseases (influenza, measles, norovirus proxy via acute_respiratory_infection) with trend information. Designed for school authorities and city administration Public Health Reporting. One-call situational overview for a canton (Schulamt / city administration) without orchestrating multiple series queries.Aggregates several series; a single unavailable series is reported as a per-disease status, not a failure of the whole call.bag_health_mcp__get_canton_situation(canton='ZH') -> per-disease latest value, trend and change for Zurich. Anchor query: 'Wie ist die aktuelle Grippesituation im Kanton Zürich?'

Search health indicators across three Swiss sources: 'obsan' (Swiss Health Observatory — hundreds of indicators incl. the HBSC youth-survey series), 'versorgungsatlas' (Swiss health-care supply atlas, ~124 indicators), and 'suchtschweiz' (addiction / HBSC series, served via Obsan's official mirror). Returns matching indicator_ids to pass to bag_health_mcp__get_indicator_series. IMPORTANT: this serves AGGREGATED population statistics (prevalences/metrics by age/sex/region) — NOT individual advice, diagnosis or case assessment, and no personal data. Especially for 'suchtschweiz' (prevention topics in a school context): the figures are population-level survey aggregates only. Find which indicators exist for a topic (e.g. youth alcohol) before fetching a series.Most indicators are national; cantonal breakdowns are rare (HBSC youth surveys are not cantonally representative).bag_health_mcp__search_health_indicators(source='suchtschweiz', topic='alkohol') -> Obsan HBSC alcohol-prevalence indicators.

Fetch one health indicator's time series from Obsan, the Versorgungsatlas or Sucht Schweiz (HBSC). Use an indicator_id from bag_health_mcp__search_health_indicators. Obsan/suchtschweiz return national year/value points (with 95% confidence intervals and sex/category dimensions where available); versorgungsatlas returns a cantonal year/value series (26 cantons + a 'CH' national total, with 95% CIs and a canton-vs-Switzerland ratio) — pass region='ZH' for a canton. IMPORTANT: AGGREGATED population statistics only — NOT individual advice, diagnosis or case assessment, no personal data. For 'suchtschweiz' (school-context prevention topics) the values are national HBSC survey aggregates by age/sex. Get a national trend (obsan/suchtschweiz) or a cantonal series with a Switzerland comparison (versorgungsatlas).obsan/suchtschweiz indicators are national — passing a canton returns the national series with an explanatory note (HBSC is not cantonally representative). versorgungsatlas supports cantons: region='ZH' returns ZH plus a canton-vs-CH comparison.bag_health_mcp__get_indicator_series(source='versorgungsatlas', indicator_id='_003/b', region='ZH') -> ZH cantonal series with 95% CIs and its ratio to the Swiss average.