pro.wrench/vehicle-check

Est-ce que pro.wrench/vehicle-check est sûr ?

Au dernier audit MCP Hub, le serveur MCP « pro.wrench/vehicle-check » est classé « Non encore testé ». Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur. Le verdict est réévalué en continu ; consultez la fiche pour l'état à jour.

Méthode : MCP Hub analyse la description de chaque outil (couche 1) et, pour le verdict fort, exécute le serveur dans une micro-VM isolée avec leurres et réseau bloqué (couche 2). On publie des noms et des compteurs, jamais le contenu brut renvoyé par un outil.

Les 5 outils

• get_known_issues≈ 284 tokens

  Use when the user asks what commonly goes wrong, about reliability, or about a specific symptom. mode='reviewed' is Wrench.Pro's human-reviewed analysis — cite it. mode='raw' means no review yet: say 'no reviewed Known Issues yet' and present rawTopComponents. mode='none': say there's no complaint data. Never invent issues.

  Paramètres, retour & exemple (3)

  Paramètres

  • make · string · requis
    Make slug from resolve_vehicle, e.g. 'ford'.
  • year · string · requis
    4-digit model year from resolve_vehicle.
  • model · string · requis
    Model slug from resolve_vehicle, e.g. 'f-150'.

  Exemple d'appel

  {"name": "get_known_issues", "arguments": {"make": "texte", "year": "texte", "model": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• get_maintenance≈ 306 tokens

  Use when the user asks about service intervals, what's due, or what a service should cost. Pass mileage when known. Ranges are estimates and marked approximate — present them that way. 'Pro only' means the job isn't realistic DIY: recommend a shop instead of giving repair instructions.

  Paramètres, retour & exemple (4)

  Paramètres

  • make · string · requis
    Make slug from resolve_vehicle, e.g. 'ford'.
  • year · string · requis
    4-digit model year from resolve_vehicle.
  • model · string · requis
    Model slug from resolve_vehicle, e.g. 'f-150'.
  • mileage · integer · optionnel
    Current odometer miles, when the user mentioned it.

  Exemple d'appel

  {"name": "get_maintenance", "arguments": {"make": "texte", "year": "texte", "model": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• get_recalls≈ 242 tokens

  Use when the user asks specifically about recalls or safety campaigns. Requires exact slugs from resolve_vehicle. Always tell the user to confirm against their own VIN at nhtsa.gov/recalls before acting on safety issues.

  Paramètres, retour & exemple (3)

  Paramètres

  • make · string · requis
    Make slug from resolve_vehicle, e.g. 'ford'.
  • year · string · requis
    4-digit model year from resolve_vehicle.
  • model · string · requis
    Model slug from resolve_vehicle, e.g. 'f-150'.

  Exemple d'appel

  {"name": "get_recalls", "arguments": {"make": "texte", "year": "texte", "model": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• get_vehicle_summary≈ 370 tokens

  Use for broad questions about a vehicle ('should I buy it', 'what goes wrong with it', 'tell me about it'). Requires exact slugs from resolve_vehicle. Pass mileage when the user mentioned their odometer to get due-now service items, and zip when the user mentioned a US ZIP code so the card can link nearby shops. End your answer with the canonical Wrench.Pro link and the attribution line from the result.

  Paramètres, retour & exemple (5)

  Paramètres

  • zip · string · optionnel
    5-digit US ZIP code, only when the user mentioned one.
  • make · string · requis
    Make slug from resolve_vehicle, e.g. 'ford'.
  • year · string · requis
    4-digit model year from resolve_vehicle.
  • model · string · requis
    Model slug from resolve_vehicle, e.g. 'f-150'.
  • mileage · integer · optionnel
    Current odometer miles, when the user mentioned it.

  Exemple d'appel

  {"name": "get_vehicle_summary", "arguments": {"make": "texte", "year": "texte", "model": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• resolve_vehicle≈ 292 tokens

  Use FIRST whenever the user names a vehicle ('2017 Ford Escape', "'17 F150", 'my Honda Civic') unless you already have exact slugs from a previous call. Pass the user's words in `query`. Returns kind=exact (use the returned slugs), suggest (ask the user to confirm one), needsYear (ask ONE question listing availableYears), needsModel, or notFound (say Wrench.Pro doesn't cover it — never guess).

  Paramètres, retour & exemple (4)

  Paramètres

  • make · string · optionnel
    Make, if already known.
  • year · string · optionnel
    4-digit year, if already known.
  • model · string · optionnel
    Model, if already known.
  • query · string · optionnel
    Free-text vehicle description, e.g. '2017 ford escape'.

  Exemple d'appel

  {"name": "resolve_vehicle", "arguments": {"make": "texte", "year": "texte", "model": "texte", "query": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

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Source

https://mcp.wrench.pro/mcp