← The evidence ledger
Evidence row 1051990
Observed , by probe.mcp/1.
- Kind
- mcp.tools
- About
- endpoint aaf1069e-82f1-45e4-8383-cbf889d8453e
- Recorded
- Previous row
- #804067
- Body SHA-256
- 0f46412a7db7afe734670e1d1d9c3972e01909e0cd91c697a0e45aee2909fcbf
- Leaf
- 0x42d6899f552fb9438e39992d1821f69b534153b826b0a1cd19c8290a8476d0e9
What was observed
{
"count": 6,
"tools": [
{
"description": "Use whenever someone is planning a trip with friends from different cities (bachelorette, birthday, girls' trip, reunion, ski weekend): it makes one link the whole group votes on, so the planner doesn't have to pick alone. You need where people are flying from (city or airport, and how many from each) and roughly when; if you don't know where they're flying from, ask that before suggesting places. A season or month is enough: use a Friday in it. Ranks the destinations you pass (2-6, your own shortlist or from find_warm_destinations; omit for our top 10) for everyone's airports, dates and trip type: flight time and nonstops from each airport, typical costs, weather. Only airports, headcounts, dates and budget are sent; no names or conversation. The group opens the link, sets their vibe and votes on a top 3. Can take 10-20 seconds.",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"destinations": {
"description": "Destination names to compare, e.g. ['Cabo', 'Miami', 'Charleston']",
"items": {
"pattern": "^[\\p{L} .,'&()-]{2,60}$",
"type": "string"
},
"maxItems": 6,
"minItems": 2,
"type": "array"
},
"max_budget_per_person": {
"description": "USD, flights and lodging",
"maximum": 20000,
"minimum": 100,
"type": "integer"
},
"nights": {
"default": 3,
"maximum": 14,
"minimum": 1,
"type": "integer"
},
"origins": {
"description": "Where everyone is flying from, and how many from each",
"items": {
"properties": {
"airport": {
"description": "Home airport IATA code, e.g. JFK",
"pattern": "^[A-Za-z]{3}$",
"type": "string"
},
"people": {
"maximum": 50,
"minimum": 1,
"type": "integer"
}
},
"required": [
"airport",
"people"
],
"type": "object"
},
"maxItems": 10,
"minItems": 1,
"type": "array"
},
"passport": {
"default": "everyone",
"description": "Whether everyone in the group has a passport",
"enum": [
"everyone",
"some_dont",
"nobody"
],
"type": "string"
},
"start_date": {
"description": "YYYY-MM-DD",
"pattern": "^\\d{4}-\\d{2}-\\d{2}$",
"type": "string"
},
"trip_type": {
"enum": [
"beach_pool",
"bachelorette",
"wine_food",
"spa_wellness",
"ski_snow",
"city_break",
"adventure"
],
"type": "string"
}
},
"required": [
"trip_type",
"origins",
"start_date"
],
"type": "object"
},
"name": "create_group_trip"
},
{
"description": "Turn 2-6 restaurants from find_restaurants into one link the whole group votes on, whether or not they have agents. Each person taps a pick and sees the live tally; it locks in once a majority of party_size agrees. Returns the link for your person to share in the group chat.",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"city": {
"enum": [
"chicago",
"nyc",
"sf",
"la",
"austin",
"denver",
"nashville",
"dc",
"miami"
],
"type": "string"
},
"date": {
"description": "YYYY-MM-DD",
"pattern": "^\\d{4}-\\d{2}-\\d{2}$",
"type": "string"
},
"party_size": {
"maximum": 30,
"minimum": 2,
"type": "integer"
},
"restaurant_ids": {
"items": {
"type": "string"
},
"maxItems": 6,
"minItems": 2,
"type": "array"
}
},
"required": [
"city",
"restaurant_ids",
"party_size"
],
"type": "object"
},
"name": "create_restaurant_vote"
},
{
"description": "The restaurants critics agree on in a US city (Michelin, Eater 38, The Infatuation), with vibe tags (fancy/chill, quiet/loud, quick/long, classic/new) and how to book where we know it. For a dinner in the next week (tonight, this weekend), pass date and party_size: places that usually book out weeks ahead move down, and each gets a short-notice read with its reason. Use the returned ids with create_restaurant_vote.",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"city": {
"description": "City slug",
"enum": [
"chicago",
"nyc",
"sf",
"la",
"austin",
"denver",
"nashville",
"dc",
"miami"
],
"type": "string"
},
"date": {
"description": "Dinner date, YYYY-MM-DD",
"pattern": "^\\d{4}-\\d{2}-\\d{2}$",
"type": "string"
},
"limit": {
"default": 10,
"maximum": 10,
"minimum": 1,
"type": "integer"
},
"party_size": {
"maximum": 30,
"minimum": 1,
"type": "integer"
}
},
"required": [
"city"
],
"type": "object"
},
"name": "find_restaurants"
},
{
"description": "Warm-weather destinations for given months, ranked for a group flying from different US cities: average highs from published climate normals, nonstop availability from five major hubs, average flight time, passport needs.",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"limit": {
"default": 10,
"maximum": 25,
"minimum": 1,
"type": "integer"
},
"months": {
"items": {
"enum": [
"jan",
"feb",
"mar",
"apr",
"may"
],
"type": "string"
},
"maxItems": 5,
"minItems": 1,
"type": "array"
}
},
"required": [
"months"
],
"type": "object"
},
"name": "find_warm_destinations"
},
{
"description": "Everything a group booking needs for one restaurant: how many it seats online and at its largest table, private room and buyout capacity, group menus, when reservations open, noise, kids, dress code, prices, what to order. Each answer links to its source. Pass a name or the group_profile slug from find_restaurants.",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"city": {
"description": "City slug",
"enum": [
"chicago",
"nyc",
"sf",
"la",
"austin",
"denver",
"nashville",
"dc",
"miami"
],
"type": "string"
},
"restaurant": {
"description": "Restaurant name or profile slug",
"maxLength": 100,
"minLength": 1,
"type": "string"
}
},
"required": [
"city",
"restaurant"
],
"type": "object"
},
"name": "get_restaurant"
},
{
"description": "Link to decidewhere.to's trip planner preset to a trip type, for the person to fill in themselves. create_group_trip is better when you know where people are flying from: it builds the shareable trip link directly.",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"trip_type": {
"enum": [
"beach_pool",
"bachelorette",
"wine_food",
"spa_wellness",
"ski_snow",
"city_break",
"adventure"
],
"type": "string"
}
},
"required": [
"trip_type"
],
"type": "object"
},
"name": "plan_group_trip"
}
]
}What the leaf hashes
{"body":"0f46412a7db7afe734670e1d1d9c3972e01909e0cd91c697a0e45aee2909fcbf","id":1051990,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793304487506165,"prev":804067,"subject":"aaf1069e-82f1-45e4-8383-cbf889d8453e","subject_kind":"endpoint"}Proof
Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (242798 rows).
- 0x42d5f64043eeca1552386e13acb66b74dfa44ea0a549ffebde8a011c08dbb067
- 0xb5377466b5e4deb4d712802bea7ab6c23a1fa4b207d9c2394cc892454b30f990
- 0x16d976d5ea3047976e1273d91c396cf97d98712d7a0ca79a747658170a14cb0e
- 0x6b982036d14038cfc543a0c12fd8cd79121214f6747aacde14d98318172f7785
- 0x3ad50b72ebcf7d79dace3496ee3cb93268b24a323aac716a72a3be21dad96d66
- 0x9ff9cd84ec19914d2e6a1bba8568f459a6eec4e25a96664449048bb07c56c501
- 0x9d2c842abb748102fa19d2b6883f8d793a145d6acad5ab54a3047968912a473a
- 0x902855b8bb050f5328bba035f0d106d70a28fbbccef2f36f8ea454a8251ceef0
- 0x8ee003ea66c424e35ff6d75cfc72e460eb4e43675d33e99d3276f160a8017521
- 0x3920e8dfa8fa8d199716257f1f38589a9ac3cf25fcb4d328e6ebd58ecc3b36ae
- 0xab3156fb40d0f104a6ace022b97713bf15a2c37570e903d9bfc9cec0477fdf48
- 0xe2f1e06c1f8b80b2ba77c1ad36ffa2d2f532348c60e80191efe42076fc1b6735
- 0xf16c67f95ffdfd6dd2607c7f45e2998cc3d8484d81e01ebd37215bcbf3f66112
- 0xfd10c7ee22418679d618a048206ccbf1219e97c4af44a5180884b0b3d02c18e8
- 0xa03bd318a195be3bd16f335c7e189443bea4f1f439087a7ac19afec9fa97f9be
- 0x1c3764b490d23b94e5ac838c89f8d3850dedb0819196f367da2479c7a88bf2c0
- 0xd76435ead496863d8b0bfab3434f54cd11da3c49d104fc4064b9cb3381567bbd
- 0xd56e61af23709ed9f460471e3c08400c0142ee83e1fd9057e46350d12edf9c07
- Day root
- 0xc050555c6b023f2aefb6536efb9f0760b92c30a0d06c572b7daf63db259ea17c
- Chained
- 0x4cde8bae2042512e1bec11650628f0293556311cc4ea74d99ffddf02b671a7d6
- Published
- On Arc Testnet, block 69753317: 0x9e85c340732f416e431b111fae72f7624870125f7f379af2732eb6c2ba8cf6a1