Server definition
- Hash
- sha256:0b11a0e7060c0878d580fcce32179d75467ee20639b63eaa7d6107f7e2d94490
- What it is
- What a remote MCP server returned when asked what it offers: 4 tools
The blob, as servednamed by its sha256
{
"instructions": "Japanese car genealogy with sources. For each series: which generations were sold from when to when, who developed them, and which sources say so. Read-only. Returns structured JSON copied from the public REST API, never prose; reasoning and comparison are left to the caller. Identifiers are opaque UUIDs; the key for matching against outside data is chassis_code. An empty list means 'not researched yet', never 'none'. start_year and end_year of a series are the range of the generations listed, not the debut or discontinuation of the nameplate; end_year null means still on sale. Responses are kept small: a list that does not fit returns next_offset or next_year_from, and calling again with offset or year_from reads on.",
"tools": [
{
"description": "Get the sales figures of a series. Without region_code it returns the overview {series_id, url, region_totals, lifetime, coverage, regions}; with region_code it returns that region year by year {series_id, url, region_code, region_totals, coverage, cells, figures, next_year_from}. region_totals sum years within one country only, so never add across countries or add a parent region to its children. lifetime rows are cumulative or per-generation totals that must not be added to the grid. With a model_id, region_totals and lifetime are those of that generation; otherwise region_totals are the series totals and lifetime is the whole series. coverage rows are the blanks that were checked and found empty, with the reason; a region with coverage rows and no figures was researched, not skipped. regions lists the region codes that have figures or checked blanks, with the first and last year; pass one of them as region_code, since any other code is an error. cells are the grid a figure may be summed into, one per series, country, calendar year and metric; a null units on a cell means the sources disagree, never zero sold. figures are the rows as published, each with units, the source's own wording, the period, source_url and a verbatim source_excerpt; match them to cells by region_code, year and metric. A model_id narrows figures to that generation, while cells stay series-wide because allocating a year to a generation needs the whole series. Years are cut to fit the response size, never splitting a year; when next_year_from is not null, call again with year_from set to it. An empty list means not researched yet, never zero.",
"inputSchema": {
"additionalProperties": false,
"description": "Pass exactly one of series_id or model_id.",
"properties": {
"model_id": {
"description": "Generation (model) id (a UUID from search_vehicles). Takes precedence over series_id when both are given.",
"type": "string"
},
"region_code": {
"description": "A region code from regions in the overview, such as JP (upper case, as listed). Omit to get the overview.",
"type": "string"
},
"series_id": {
"description": "Series id (a UUID from search_vehicles).",
"type": "string"
},
"year_from": {
"description": "First calendar year to return for region_code; pass next_year_from from the previous response. Omit to start from the earliest year.",
"minimum": 0,
"type": "integer"
}
},
"type": "object"
},
"name": "get_sales_figures",
"outputSchema": null
},
{
"description": "Get one series with the list of its generations (models) and the cited sources, and with a model_id also that generation in detail. Returns {series, maker, models, sources}, plus model when a model_id is given. Each entry in models has id, name, chassis_code, start_year, end_year (null = still on sale), description, source_url and its public page url; the list is always the whole series. model is the named generation with drivetrains, displacements (engine displacement in cc, one row per engine), and engineers (each with role_name, source_url citing the person's own career, and link_source_url citing that person's work on this very generation; a null link_source_url means not researched yet, so do not read source_url as evidence for this generation). sources are the cited references for the descriptions (url, title, publisher, accessed_on, and model_id: null for the series overview, otherwise the generation whose description it supports); a generation's own sources come only with its model_id. For the engineers or specs of several generations, call once per model_id. An empty drivetrains, displacements, engineers, or sources list means not researched yet, never none. Unknown ids are an error, not an empty result.",
"inputSchema": {
"additionalProperties": false,
"description": "Pass exactly one of series_id or model_id.",
"properties": {
"model_id": {
"description": "Generation (model) id (a UUID from search_vehicles). Takes precedence over series_id when both are given.",
"type": "string"
},
"series_id": {
"description": "Series id (a UUID from search_vehicles).",
"type": "string"
}
},
"type": "object"
},
"name": "get_vehicle",
"outputSchema": null
},
{
"description": "Get the relationships between generations (succession, sibling, derivation, spiritual successor). A series_id returns the relations of the whole series; a model_id returns only the relations that have that generation at either end. Returns {series_id, url, total, relations, next_offset}, plus model_id when given: each relation has kind and kind_name, kind_directed, from_model and to_model (each with id, name, chassis_code, start_year, end_year, series_name and public page url), and where the source requires one, source_url with the verbatim source_excerpt; rationale is filled for spiritual successors. When kind_directed is false the two ends are interchangeable, so treat the relation as belonging to both generations. Relations are cut to fit the response size; when next_offset is not null, call again with offset set to it. An empty relations list means not researched yet, never that the car has no relatives.",
"inputSchema": {
"additionalProperties": false,
"description": "Pass exactly one of series_id or model_id.",
"properties": {
"model_id": {
"description": "Generation (model) id (a UUID from search_vehicles). Takes precedence over series_id when both are given.",
"type": "string"
},
"offset": {
"description": "Where to start in the list; pass next_offset from the previous response. Omit to start from the beginning.",
"minimum": 0,
"type": "integer"
},
"series_id": {
"description": "Series id (a UUID from search_vehicles).",
"type": "string"
}
},
"type": "object"
},
"name": "get_vehicle_relationships",
"outputSchema": null
},
{
"description": "Find series by name, maker name, or a generation's chassis code. Series names match by normalized substring (width, case, kana), maker names by prefix, chassis codes by substring of the code as written (a slash-joined code is one string, not split). Returns {query, total, hits: [{series, maker, matched_models}], next_offset} where each series and model carries its public page url; pass the ids in the hits to the other skills. Hits are ranked and cut to fit the response size; when next_offset is not null, call again with offset set to it for the rest. Empty hits means nothing matched the query.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"offset": {
"description": "Where to start in the list; pass next_offset from the previous response. Omit to start from the beginning.",
"minimum": 0,
"type": "integer"
},
"query": {
"description": "Series name, maker name, or chassis code. Width, case, hiragana/katakana, long vowel marks and hyphens are normalized away before matching.",
"type": "string"
}
},
"required": [
"query"
],
"type": "object"
},
"name": "search_vehicles",
"outputSchema": null
}
]
}Verify it yourself
curl -s https://api.teppi.xyz/v1/evidence/sha256:0b11a0e7060c0878d580fcce32179d75467ee20639b63eaa7d6107f7e2d94490 | sha256sum