Indicateurs TE MCP

Tools

• MCP_indicators_find_territory Find the official code of a French territory from (part of) its name, e.g. "Lyon", "Bouches-du-Rhône", "Grand Paris". Use it before query_indicator_data when the code is unknown (EPCI SIREN and commune INSEE codes are hard to guess). Regions are resolved locally; other levels are looked up in the indicators API. Returns: JSON: name, total_count, territories [{geographic_level, geocode, libelle}] (max 20 per level).
• MCP_indicators_get_indicator_details Full metadata of one indicator: definition, calculation method, available years and geographic levels, data completeness, sources. Returns: JSON: metadata {id, libelle, unite, description, methode_calcul, annees_disponibles [..], mailles_disponibles [..], couverture_geographique, completion {level: ratio 0-1}}, sources [..], available_cubes {level: cube}.
• MCP_indicators_list_indicators List the catalogue of French territorial ecological indicators (~170), optionally filtered. Prefer search_indicators for a topic; use this tool to browse a theme or to know what exists at a given geographic level. Returns: JSON: count, indicators [{id, libelle, unite, mailles, thematique}], filters_applied, themes (distinct values, to refine).
• MCP_indicators_query_indicator_data Get the values of an indicator for territories (one territory, or all territories of a level). Without geographic_code, returns every territory of the level (use `year` and `limit` to keep it small: there are 13 regions, ~100 départements, ~1 250 EPCI, ~35 000 communes). Without year, returns all available years. Use find_territory to get a code from a name. Returns: JSON: indicator_id, indicator_name, unite, geographic_level, total_count, truncated, data [{geocode, libelle, annee, valeur}], annees_disponibles, cube.
• MCP_indicators_search_indicators Find indicators by keywords (French), e.g. "émissions gaz effet de serre", "surface bio", "artificialisation". Accent-, case- and plural-insensitive; all words must match (in the name, description or theme). Best matches first. Then call get_indicator_details(id) or query_indicator_data. Returns: JSON: query, total_count, indicators [{id, libelle, unite, mailles, thematique}] (max 30), truncated flag.

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