← The evidence ledger
Evidence row 1223903
Observed , by probe.mcp/1.
- Kind
- mcp.tools
- About
- endpoint 845bd842-fe8c-4787-8e16-7bbd211e1248
- Recorded
- Previous row
- None: the first of its kind about this subject
- Body SHA-256
- e3f7c02ca0851529f5ac64a3f1238b0718d2f682625dd8504c60bd34b8b3dd09
- Leaf
- 0x76ad55d7f7b8dacc430f3f4878f305a22f85169b99b8f5da3cc1fc59e97e83e6
What was observed
{
"count": 4,
"tools": [
{
"description": "Return one interactive classroom tool by its exact identifier (for example 'sight-words-first-grade'). Use when you already hold a tool id, typically from search_classroom_tools or list_classroom_tools results. Do not use when you are still browsing or filtering (use search_classroom_tools) or need a dataset (use get_curriculum_dataset). Returns exactly one record, or an error if the id is unknown. Requires no authentication.",
"inputSchema": {
"properties": {
"id": {
"type": "string"
}
},
"required": [
"id"
],
"type": "object"
},
"name": "get_classroom_tool"
},
{
"description": "Fetch a complete curriculum dataset - the actual words, not a description of them: 857 items across 9 datasets (Dolch sight words and nouns, CVC families, digraph words, Spanish syllables, Turkish-English word and flashcard sets). Use when you need exact word lists for a lesson, worksheet, quiz, or flashcard set; these sequences and level boundaries are canonical ground truth and should not be generated from memory. Do not use when you need an interactive activity or tool metadata - use search_classroom_tools or get_classroom_tool instead. Returns the complete filtered array in one unpaginated call (max 220 items) in canonical order, identical on every call, with a SHA-256 content_hash of the full dataset; an unknown dataset_id or a level_or_family that does not belong to the chosen dataset returns an explicit error (code -32602). Requires no authentication.",
"inputSchema": {
"properties": {
"dataset_id": {
"description": "Which dataset to fetch (item counts): dolch-sight-words-220 (220), dolch-nouns-94 (94), cvc-word-families-75 (75), digraph-words-21 (21), spanish-syllables-core (212), turkish-english-early-words (30 pairs), turkish-english-animals (193 pairs), turkish-english-colors (5 pairs), turkish-english-objects (7 pairs). Monolingual sets return word strings; Turkish-English sets return {tr, en} objects",
"enum": [
"dolch-sight-words-220",
"dolch-nouns-94",
"cvc-word-families-75",
"digraph-words-21",
"spanish-syllables-core",
"turkish-english-early-words",
"turkish-english-animals",
"turkish-english-colors",
"turkish-english-objects"
],
"type": "string"
},
"level_or_family": {
"description": "Optional subset filter; valid values depend on dataset_id: Dolch levels (pre-primer, primer, grade-1, grade-2, grade-3), CVC rimes with leading hyphen (-at; bare at also accepted), digraphs (sh, ch, th, wh), Spanish subsets (syllables, words). Other datasets have no subsets. An invalid value returns error -32602; omit for the full dataset",
"examples": [
"grade-1",
"-at",
"sh",
"syllables"
],
"type": "string"
}
},
"required": [
"dataset_id"
],
"type": "object"
},
"name": "get_curriculum_dataset"
},
{
"description": "List all 24 interactive classroom tools in Birkan Yavuz's catalog. Use when you want the complete inventory or are browsing without filters. Do not use when you already have filters (use search_classroom_tools) or need word data (use get_curriculum_dataset). Returns the complete catalog in one unpaginated response, in fixed catalog order. Requires no authentication.",
"inputSchema": {
"properties": {},
"type": "object"
},
"name": "list_classroom_tools"
},
{
"description": "Find interactive classroom tools in Birkan Yavuz's catalog of 24 K-9 activities. Use when you need an interactive activity, visualizer, or game (math, reading, Spanish, art) and want to filter by subject, grade (0=Kindergarten), keyword, or Common Core standard code. Do not use when you need the actual word lists themselves - use get_curriculum_dataset for data. Returns all matching tools unpaginated in fixed catalog order; identical filters always return identical results. Requires no authentication.",
"inputSchema": {
"properties": {
"grade": {
"description": "Grade level, 0 = Kindergarten",
"examples": [
1,
3,
5
],
"maximum": 12,
"minimum": 0,
"type": "integer"
},
"query": {
"description": "Free-text match against tool names and objectives",
"examples": [
"fractions",
"sight words",
"telling time"
],
"type": "string"
},
"standard_code": {
"description": "Optional curriculum standard code filter, full or short form (for example CCSS.Math.Content.1.OA.C.6 or 1.OA.C.6, RF.1.3)",
"examples": [
"1.OA.C.6",
"RF.1.3"
],
"type": "string"
},
"subject": {
"description": "Subject filter; omit or 'all' for every subject",
"enum": [
"math",
"reading",
"spanish",
"art",
"all"
],
"type": "string"
}
},
"type": "object"
},
"name": "search_classroom_tools"
}
]
}What the leaf hashes
{"body":"e3f7c02ca0851529f5ac64a3f1238b0718d2f682625dd8504c60bd34b8b3dd09","id":1223903,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793322728021490,"prev":null,"subject":"845bd842-fe8c-4787-8e16-7bbd211e1248","subject_kind":"endpoint"}Proof
Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (243099 rows).
- 0x76adb75b5f7a60245bf150cfb7df8caa5425a9b74fc49aceaeadc96dd228247b
- 0x8cecca82476a4157aefefd25fd8bc78401c489884543c92032aa888e22ca52f3
- 0x2e72621bc44375ad7b1bf922c5e35f431820d923c01c572d19cd5e80dec9f821
- 0x546900db5ff3daed10ea02f097ccec4d53ab87de3b2b66fbae6d57e5aba207ad
- 0x1ef9937325856af9f1efa658978e046cdf28991b23756ed94b88eedf49b7c249
- 0xec85c1ea810dbbb00d2c920bbdd0bcd977ed0ec60927eb3af2ae0f79a98b66fb
- 0x0f637820760d358c525953042e767450378d4e3f7e10781ce029c9bd72a814aa
- 0x0b6baffd53461331909db1745c6e8e2c598c97526d823954456afd321dfca234
- 0x065d97cfed5eeb3c04845595be5c4e232a3934e84ca8ad2b74f117506f5e7316
- 0xf1435eb1806e6d8ef508a4fd008710c974635365103e8a9c36a4a34507f09fff
- 0x5f2108a18036c397c1b66575525e1ffcda4a8e76e098ca6f1a533303267381c4
- 0xf3f40fe498675360f57a43c0bd787d90a1f1734ae0e4763208da630024b06bcd
- 0x630c92ab7a09a852e8f8d699227d5d4a4acf303f63bea031f0057a3a36087420
- 0x75bcbdd2a0d7acdea21f6011126339c8e33a476ec0a76842480cf5bf70db6a72
- 0xdf25f5d38e3fb54d3e66e3bf876db529f619041e0d21f0bc35b80003418e3d9c
- 0xdbaaffa44665d1fa60d33d2c4075bd87629b76d01a6ee63e621e78590303b56d
- 0xffe660edb9e5c6e3449a49454634c3e7b2f9fe703e5697f723b021735647ab7e
- 0x30a81d8fcef4e8f9e2877c62796cfc5612fc1b251127d531dee28f8dbd5c5147
- Day root
- 0x0826c7ad6039e06a2360ca0a4a3a4fe7f2626c6dc19f71a37599386f78b39875
- Chained
- 0x36b4c8a1063758f0b8765fa1bdf75fa92fb543cc183add3e261880ee2bd1f822
- Published
- Not published on a chain yet