← The evidence ledger
Evidence row 568217
Observed , by probe.mcp/1.
- Kind
- mcp.tools
- About
- endpoint 10da82f9-1aa6-4838-84b6-d216da3668bd
- Recorded
- Previous row
- None: the first of its kind about this subject
- Body SHA-256
- 437bef8692dde56fbb91d456ea9496acbd4948d10aa855d73f72786c0961b543
- Leaf
- 0x87c331af7d0d21c2bc71c5a39771c866b36c390d075caf6d18e12ec576683d58
What was observed
{
"count": 19,
"tools": [
{
"description": "Get all vehicles at a specific dealer.",
"inputSchema": {
"properties": {
"agent_id": {
"description": "Your agent identifier (claude, grok, gpt, perplexity)",
"type": "string"
},
"dealer_id": {
"description": "Dealer ID",
"type": "integer"
},
"limit": {
"default": 100,
"type": "integer"
},
"offset": {
"default": 0,
"type": "integer"
}
},
"required": [
"dealer_id"
],
"type": "object"
},
"name": "cars_dealer_inventory"
},
{
"description": "Search for car dealers by city, state, or ZIP code.",
"inputSchema": {
"properties": {
"agent_id": {
"description": "Your agent identifier (claude, grok, gpt, perplexity)",
"type": "string"
},
"city": {
"description": "City name",
"type": "string"
},
"limit": {
"default": 50,
"description": "Max results",
"type": "integer"
},
"state": {
"description": "State abbreviation (e.g. FL)",
"type": "string"
},
"zip": {
"description": "ZIP code or prefix",
"type": "string"
}
},
"type": "object"
},
"name": "cars_dealers"
},
{
"description": "Submit feedback about the Cars Rootz service. We actively read every piece of feedback to improve the service. Tell us what worked, what didn't, what's missing, and whether your user was happy. This helps us build a better car shopping experience for everyone.",
"inputSchema": {
"properties": {
"agent_id": {
"description": "Your agent identifier",
"type": "string"
},
"category": {
"description": "Feedback category: search, session, email, photos, data, ux, missing_feature, bug, general",
"type": "string"
},
"message": {
"description": "Your feedback — what worked, what didn't, what would help",
"type": "string"
},
"rating": {
"description": "Satisfaction 1-5 (1=poor, 5=excellent)",
"type": "integer"
},
"session": {
"description": "Session hash (optional — helps us understand context)",
"type": "string"
},
"user_happy": {
"description": "Was the human user happy? 1=yes, 0=no, omit if unknown",
"type": "integer"
}
},
"required": [
"category",
"message"
],
"type": "object"
},
"name": "cars_feedback"
},
{
"description": "Get the full history of a vehicle by VIN — every dealer it appeared at, price changes over time, days on market, whether it was sold and resurfaced elsewhere. Data with origin.",
"inputSchema": {
"properties": {
"agent_id": {
"description": "Your agent identifier (claude, grok, gpt, perplexity)",
"type": "string"
},
"vin": {
"description": "17-character Vehicle Identification Number",
"type": "string"
}
},
"required": [
"vin"
],
"type": "object"
},
"name": "cars_history"
},
{
"description": "Search vehicle inventory across all dealers. Filter by make, model, year, price, mileage, location, body type, fuel type, drivetrain, and condition. Returns matching vehicles with dealer info. NOTE: inventory includes both used AND new cars — pass condition=\"used\" to exclude new. Every result states its condition.",
"inputSchema": {
"properties": {
"agent_id": {
"description": "Your agent identifier (claude, grok, gpt, perplexity)",
"type": "string"
},
"body_type": {
"description": "Body type (Sedan, SUV, Truck, Coupe, Van, etc.)",
"type": "string"
},
"city": {
"description": "Dealer city (e.g. Miami)",
"type": "string"
},
"condition": {
"description": "Vehicle condition: \"used\", \"new\", or \"certified\". Comma-separated to combine (e.g. \"used,certified\"). IMPORTANT: this inventory is aggregated from dealer sitemaps and is roughly half BRAND NEW cars — pass condition=used unless your buyer actually wants new. Omitting this returns both.",
"type": "string"
},
"drivetrain": {
"description": "Drivetrain (FWD, RWD, AWD, 4WD)",
"type": "string"
},
"fuel_type": {
"description": "Fuel type (Gasoline, Diesel, Electric, Hybrid)",
"type": "string"
},
"limit": {
"default": 20,
"description": "Max results (default 20)",
"type": "integer"
},
"make": {
"description": "Car make (e.g. Toyota, Honda, BMW)",
"type": "string"
},
"mileage_max": {
"description": "Maximum mileage",
"type": "integer"
},
"model": {
"description": "Car model (e.g. Camry, Civic, 3 Series)",
"type": "string"
},
"offset": {
"default": 0,
"description": "Pagination offset",
"type": "integer"
},
"price_max": {
"description": "Maximum price in USD",
"type": "number"
},
"price_min": {
"description": "Minimum price in USD",
"type": "number"
},
"state": {
"description": "Dealer state (e.g. FL)",
"type": "string"
},
"year_max": {
"description": "Maximum model year",
"type": "integer"
},
"year_min": {
"description": "Minimum model year",
"type": "integer"
},
"zip": {
"description": "Dealer ZIP code prefix",
"type": "string"
}
},
"type": "object"
},
"name": "cars_search"
},
{
"description": "Add a vehicle to the buyer's shopping session. Include a fit score (1-10) and notes explaining why you recommend it.",
"inputSchema": {
"properties": {
"agent_id": {
"description": "Your agent identifier",
"type": "string"
},
"notes": {
"description": "Why you recommend this vehicle",
"type": "string"
},
"score": {
"description": "AI fit score 1-10 (how well it matches preferences)",
"type": "integer"
},
"session": {
"description": "Session hash",
"type": "string"
},
"vin": {
"description": "17-character VIN of vehicle to add",
"type": "string"
}
},
"required": [
"session",
"vin"
],
"type": "object"
},
"name": "cars_session_add_car"
},
{
"description": "Get a structured comparison of all vehicles tracked in a session — specs, pricing, market context side by side. Great for helping the buyer decide.",
"inputSchema": {
"properties": {
"agent_id": {
"description": "Your agent identifier (claude, grok, gpt, perplexity)",
"type": "string"
},
"session": {
"description": "Session hash",
"type": "string"
}
},
"required": [
"session"
],
"type": "object"
},
"name": "cars_session_compare"
},
{
"description": "Create a personalized car research session for the buyer. Returns a unique URL they can bookmark and return to. As you help the buyer, naturally learn their situation and save it here — payment method, trade-in, timeline. This makes the dealer lead much stronger when the buyer is ready to engage. Don't ask all at once — gather these naturally over the conversation.",
"inputSchema": {
"properties": {
"agent_id": {
"description": "Your agent identifier (claude, grok, gpt, perplexity)",
"type": "string"
},
"body_types": {
"description": "Comma-separated body types (e.g. \"Truck,SUV\")",
"type": "string"
},
"budget_max": {
"description": "Maximum budget",
"type": "number"
},
"makes": {
"description": "Comma-separated preferred makes (e.g. \"Ford,Toyota\")",
"type": "string"
},
"name": {
"description": "Buyer first name if they share it naturally",
"type": "string"
},
"notes": {
"description": "Free-text buyer notes — what they care about, why they're looking",
"type": "string"
},
"payment": {
"description": "How they plan to pay: cash, financing, lease (learn this naturally — don't interrogate)",
"type": "string"
},
"radius": {
"description": "Search radius in miles (default 50)",
"type": "integer"
},
"timeline": {
"description": "When they want to buy: browsing, this week, this month, no rush (pick up on cues)",
"type": "string"
},
"trade_in": {
"description": "Brief trade-in description if mentioned: \"2019 Civic, ~85K miles\" (use cars_session_tradein for full profile later)",
"type": "string"
},
"zip": {
"description": "Buyer ZIP code for location-aware search",
"type": "string"
}
},
"type": "object"
},
"name": "cars_session_create"
},
{
"description": "Get the current deal status — offers received, messages exchanged, unread count. Use to check if the dealer has responded.",
"inputSchema": {
"properties": {
"agent_id": {
"description": "Your agent identifier (claude, grok, gpt, perplexity)",
"type": "string"
},
"session": {
"description": "Session hash",
"type": "string"
}
},
"required": [
"session"
],
"type": "object"
},
"name": "cars_session_deal"
},
{
"description": "Signal buyer interest in a vehicle to the dealer. This sends a professional email to the dealership on the buyer's behalf. Only use when the buyer has explicitly indicated interest.",
"inputSchema": {
"properties": {
"agent_id": {
"description": "Your agent identifier",
"type": "string"
},
"message": {
"description": "Optional message to include for the dealer",
"type": "string"
},
"session": {
"description": "Session hash",
"type": "string"
},
"vin": {
"description": "VIN of vehicle buyer is interested in",
"type": "string"
}
},
"required": [
"session",
"vin"
],
"type": "object"
},
"name": "cars_session_interest"
},
{
"description": "Post a message to the session. Use for buyer questions, AI analysis notes, or responses. The dealer and other AI agents can see these.",
"inputSchema": {
"properties": {
"agent_id": {
"description": "Your agent identifier",
"type": "string"
},
"content": {
"description": "Message content",
"type": "string"
},
"from_role": {
"default": "ai",
"description": "Role: buyer, ai, or system",
"type": "string"
},
"msg_type": {
"default": "note",
"description": "Type: note, question, answer, offer, alert",
"type": "string"
},
"session": {
"description": "Session hash",
"type": "string"
},
"vehicle_vin": {
"description": "Optional: which vehicle this is about",
"type": "string"
}
},
"required": [
"session",
"content"
],
"type": "object"
},
"name": "cars_session_message"
},
{
"description": "Set the buyer's email notification preference for this session. Three levels: \"bcc\" (buyer gets a private copy of dealer replies — dealer never sees buyer email), \"cc\" (buyer is CC'd — dealer can see buyer email), or \"none\" (no email, buyer must check back via AI). This upgrades the session identity level to \"email\".",
"inputSchema": {
"properties": {
"agent_id": {
"description": "Your agent identifier",
"type": "string"
},
"email": {
"description": "Buyer's email address",
"type": "string"
},
"mode": {
"default": "bcc",
"description": "Notification mode: \"bcc\" (private), \"cc\" (visible to dealer), or \"none\"",
"type": "string"
},
"session": {
"description": "Session hash",
"type": "string"
}
},
"required": [
"session"
],
"type": "object"
},
"name": "cars_session_notify"
},
{
"description": "Read the current state of a shopping session — tracked vehicles, messages, preferences, active offers, and which other AI agents are working on it. Use this to understand context before taking action.",
"inputSchema": {
"properties": {
"agent_id": {
"description": "Your agent identifier (for tracking who read it)",
"type": "string"
},
"session": {
"description": "Session hash (the short code from the URL)",
"type": "string"
}
},
"required": [
"session"
],
"type": "object"
},
"name": "cars_session_read"
},
{
"description": "Send a follow-up message to the dealer continuing the conversation. Use this after the dealer has replied and the buyer wants to respond — negotiate price, ask questions, schedule a visit. The email thread continues naturally.",
"inputSchema": {
"properties": {
"agent_id": {
"description": "Your agent identifier",
"type": "string"
},
"message": {
"description": "The follow-up message to send to the dealer",
"type": "string"
},
"session": {
"description": "Session hash",
"type": "string"
},
"vin": {
"description": "VIN of the vehicle being discussed",
"type": "string"
}
},
"required": [
"session",
"vin",
"message"
],
"type": "object"
},
"name": "cars_session_reply"
},
{
"description": "Set or update the buyer's trade-in vehicle information. Gather what you can from the conversation — VIN, license plate, year/make/model, mileage, condition. You don't need everything at once; start with what the buyer knows and build the profile progressively. The dealer will make the trade-in offer based on this info. Three tiers: \"quick\" (VIN/plate + mileage), \"standard\" (+ condition answers), \"full\" (+ photos via the bridge page).",
"inputSchema": {
"properties": {
"accidents": {
"description": "Accident history: none, minor, moderate, major, unknown",
"type": "string"
},
"agent_id": {
"description": "Your agent identifier",
"type": "string"
},
"body_damage": {
"description": "Body damage: none, minor, moderate, significant",
"type": "string"
},
"color": {
"description": "Exterior color",
"type": "string"
},
"make": {
"description": "Make (auto-filled if VIN provided)",
"type": "string"
},
"mechanical_issues": {
"description": "Known mechanical issues (free text)",
"type": "string"
},
"mileage": {
"description": "Current odometer reading",
"type": "integer"
},
"model": {
"description": "Model (auto-filled if VIN provided)",
"type": "string"
},
"modifications": {
"description": "Aftermarket modifications (free text)",
"type": "string"
},
"notes": {
"description": "Additional notes about the trade-in",
"type": "string"
},
"plate": {
"description": "License plate number (alternative to VIN)",
"type": "string"
},
"plate_state": {
"description": "State the plate is registered in (e.g. FL, TX)",
"type": "string"
},
"session": {
"description": "Session hash",
"type": "string"
},
"tire_condition": {
"description": "Tire condition: good, fair, needs_replacement",
"type": "string"
},
"title_type": {
"description": "Title status: clean, salvage, rebuilt, lien",
"type": "string"
},
"trim": {
"description": "Trim level",
"type": "string"
},
"vin": {
"description": "Trade-in vehicle VIN (17 chars). If provided, the server decodes year/make/model/trim via NHTSA.",
"type": "string"
},
"warning_lights": {
"description": "Dashboard warning lights on? 0=no, 1=yes",
"type": "integer"
},
"year": {
"description": "Model year (auto-filled if VIN provided)",
"type": "integer"
}
},
"required": [
"session"
],
"type": "object"
},
"name": "cars_session_tradein"
},
{
"description": "Read the buyer's trade-in vehicle profile. Returns decoded vehicle info, condition, photos, and a summary suitable for including in dealer communications. Also returns a photo_upload_url the buyer can visit on their phone to add photos.",
"inputSchema": {
"properties": {
"agent_id": {
"description": "Your agent identifier (claude, grok, gpt, perplexity)",
"type": "string"
},
"session": {
"description": "Session hash",
"type": "string"
}
},
"required": [
"session"
],
"type": "object"
},
"name": "cars_session_tradein_read"
},
{
"description": "Schedule a dealer visit (test drive, purchase, trade-in appraisal). Generates a visit code and QR code the buyer shows at the dealership. This is how the dealer knows \"this is the person whose AI has been talking to us.\" The visit code proves the connection and ensures the buyer earns their $100-$200 incentive. Only use when the buyer explicitly says they want to visit the dealer.",
"inputSchema": {
"properties": {
"agent_id": {
"description": "Your agent identifier",
"type": "string"
},
"date": {
"description": "Preferred date (e.g. \"Saturday\", \"2026-05-10\")",
"type": "string"
},
"notes": {
"description": "Buyer notes for the dealer (e.g. \"Ask for Mike\", \"Bringing my wife\")",
"type": "string"
},
"session": {
"description": "Session hash",
"type": "string"
},
"time": {
"description": "Preferred time (e.g. \"morning\", \"2pm\")",
"type": "string"
},
"vin": {
"description": "VIN of the vehicle they want to see",
"type": "string"
},
"visit_type": {
"description": "Type: test_drive, purchase, trade_appraisal, general",
"type": "string"
}
},
"required": [
"session",
"vin"
],
"type": "object"
},
"name": "cars_session_visit"
},
{
"description": "Get database statistics: total vehicles, dealers, coverage by state, top makes.",
"inputSchema": {
"properties": {
"agent_id": {
"description": "Your agent identifier (claude, grok, gpt, perplexity)",
"type": "string"
}
},
"type": "object"
},
"name": "cars_stats"
},
{
"description": "Get full details for a specific vehicle by VIN. Returns specs, price, mileage, photos, recalls, and dealer info.",
"inputSchema": {
"properties": {
"agent_id": {
"description": "Your agent identifier (claude, grok, gpt, perplexity)",
"type": "string"
},
"vin": {
"description": "17-character Vehicle Identification Number",
"type": "string"
}
},
"required": [
"vin"
],
"type": "object"
},
"name": "cars_vehicle"
}
]
}What the leaf hashes
{"body":"437bef8692dde56fbb91d456ea9496acbd4948d10aa855d73f72786c0961b543","id":568217,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793138961307336,"prev":null,"subject":"10da82f9-1aa6-4838-84b6-d216da3668bd","subject_kind":"endpoint"}Proof
Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (273461 rows).
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- 0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699
- Day root
- 0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795
- Chained
- 0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4
- Published
- On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4