← The evidence ledger
Evidence row 309797
Observed , by probe.mcp/1.
- Kind
- mcp.tools
- About
- endpoint 61c5ccb6-975f-4396-8fd2-2ca17a85eef7
- Recorded
- Previous row
- None: the first of its kind about this subject
- Body SHA-256
- 6330aa5b3e82ab07600e66166e42a87778a02cd6288bd92352e51cb7a0d20e56
- Leaf
- 0x8740f4604fe94035b3af34bb9a410d1e17b8ad8be8c6d618edadb6065b4808c0
What was observed
{
"count": 5,
"tools": [
{
"description": "Run the Employer cost calculator calculator: Employer National Insurance (15%); Employer pension; Apprenticeship levy (0.5%); True annual cost. Missing inputs fall back to their documented defaults.",
"inputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false,
"properties": {
"extras": {
"default": 0,
"description": "Other annual costs (benefits, equipment, insurance)",
"maximum": 100000,
"minimum": 0,
"type": "number"
},
"levy": {
"default": "0",
"description": "Annual pay bill over £3m (apprenticeship levy)",
"type": "string"
},
"pensionBasis": {
"default": "qualifying",
"description": "Pension calculated on",
"type": "string"
},
"pensionRate": {
"default": 3,
"description": "Employer pension contribution",
"maximum": 30,
"minimum": 0,
"type": "number"
},
"salary": {
"default": 35000,
"description": "Gross annual salary",
"maximum": 1000000,
"minimum": 0,
"type": "number"
}
},
"type": "object"
},
"name": "calculate"
},
{
"description": "The inputs this calculator takes (with units, ranges and defaults), the outputs it returns, and the assumptions and tables behind it.",
"inputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {},
"type": "object"
},
"name": "calculator_describe"
},
{
"description": "Read first. States plainly what submit_enquiry does on Employer Cost Calculator: it starts an enquiry with human providers who quote directly. Nothing is bought, ordered or paid; no quote is guaranteed; it is free. Also returns who receives the details, the consent wording, and how the person confirms.",
"inputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {},
"type": "object"
},
"name": "enquiry_describe"
},
{
"description": "Every field of the Employer Cost Calculator enquiry: key, label, type, whether required, help text and the allowed options where there are any. Pass answers to submit_enquiry keyed by field key.",
"inputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {},
"type": "object"
},
"name": "enquiry_fields"
},
{
"description": "Submits an enquiry to Employer Cost Calculator — NOT a purchase, NOT a guaranteed quote. Step 1: call with the answers (keyed by field key from enquiry_fields) and consent=true; it validates and returns a summary, the consent line and a confirmation token — show the person the summary and the consent line. Step 2: only if the person agrees, call again with the same answers, consent=true and the confirmation token; the enquiry is then submitted, and the person receives an email with a link they must click before any provider sees it. Consent means the person has read and agreed to: \"Send my contact details to up to three relevant accountants or payroll providers, chosen by Employer Cost Calculator, who'll contact me directly. I'll be emailed each firm's name as my details go to it, and can stop any more firms getting them.\"",
"inputSchema": {
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false,
"properties": {
"answers": {
"additionalProperties": {
"type": [
"string",
"number",
"boolean"
]
},
"description": "the person's answers, keyed by field key",
"type": "object"
},
"confirmation": {
"description": "the confirmation token from step 1, after the person has approved the summary",
"type": "string"
},
"consent": {
"description": "true only when the person has agreed to: Send my contact details to up to three relevant accountants or payroll providers, chosen by Employer Cost Calculator, who'll contact me directly. I'll be emailed each firm's name as my details go to it, and can stop any more firms getting them.",
"type": "boolean"
}
},
"required": [
"answers",
"consent"
],
"type": "object"
},
"name": "submit_enquiry"
}
]
}What the leaf hashes
{"body":"6330aa5b3e82ab07600e66166e42a87778a02cd6288bd92352e51cb7a0d20e56","id":309797,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793059107223500,"prev":null,"subject":"61c5ccb6-975f-4396-8fd2-2ca17a85eef7","subject_kind":"endpoint"}Proof
Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (296695 rows).
- 0x87406a52e0700cc9b3880fa8c4cbce8608e0680e2275cebc83a0b43b5dd7ab43
- 0x39e4951de10e6c33be203ff42ecd69472f14704ecf01a3790052e0e7fbc46cbc
- 0x65d0c2156414e671cce0bcad573bed7a64b7d22f2a17cd5ddea9af0712b08888
- 0x44900661db4230348a2ecf1716a67618e3f18b37bae1bc09cb25500d34246179
- 0xad9a03a8365b17450b45100f14bbd2e380d1f101d590e2b18209f5874699d649
- 0x5ad4efeefef323408cb3c2a7cb84177603b12edcd2bcbc5f54d54c049417ff41
- 0xa413764b2f8332d6e90f6246784952723d9b10720e841091e78f13f6af48e3cb
- 0x4aaf3c2b5c3020e3310d7b8dbfb30dd1904e03a61ec9fb313cb835670cbf4dd3
- 0x7b2976196c9b25971163056b328d8763d70574c3666530f78174e5bf336c349b
- 0xfdf107aa7e93af826b3c8955b5f09469f1ffacb9f1e76e1b4fabeb215b3414b7
- 0xaa315896c61e14116f01ecf0dd5aec1ebbd01bc8562fed10b0a3e3dd6bce0924
- 0x099dd43573993f2a1bea674129b7ed050429a0ac76c3bfda8aaf82a3af126469
- 0x49d11be052a4c069b10250aaba214f566b3f2e5aaa7a98e82ccc6a71c0e801a0
- 0x78ac2b34737774659a6a411f4d10b8ba570d40699d9f277321c3a32ff03d1dc9
- 0x7eb603d37f0f22dae1ea013e391889906ffc0139ff26e25b044bee38eec8f9b2
- 0x2b6e23e3624a1b66e1d2298cfbce99a93ce6b13d24a58112a71802d79c5f7a76
- 0xd21942ae3214eff88e08ab04884fd4b11958b51af9a0741b7668e2d07a2c56c9
- 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
- 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
- Day root
- 0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
- Chained
- 0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
- Published
- On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae