← The evidence ledger
Evidence row 577288
Observed , by probe.mcp/1.
- Kind
- mcp.tools
- About
- endpoint 1b46af2a-25b8-4cc1-8df8-fa18ba4054ff
- Recorded
- Previous row
- None: the first of its kind about this subject
- Body SHA-256
- 713ddd500ecc6fdfcdeef8935bdc170d15a18545d3cef6c331541811c244d995
- Leaf
- 0x53b9cbf23f82ffda1e504ff52934c64bda91e9ef8e1f27d43d66acc29b85ddf5
What was observed
{
"count": 20,
"tools": [
{
"description": "Determine if a topic needs FULL, DELTA, or X-DELTA soul.",
"inputSchema": {
"properties": {
"topic": {
"description": "Topic to check",
"type": "string"
}
},
"required": [
"topic"
],
"type": "object"
},
"name": "delta_check"
},
{
"description": "One-call composite — returns score, tier-ready, valid, and engine identifier. Two WASM calls, sub-millisecond total.",
"inputSchema": {
"properties": {
"content": {
"description": "Raw .faf YAML content to analyze.",
"type": "string"
}
},
"required": [
"content"
],
"type": "object"
},
"name": "faf_analyze"
},
{
"description": "Print a business card for an agent from its own name, description, colour and picture. Returns the agent's .fafa (FAF Agent file) and a link that opens its card. Nothing is stored: the .fafa travels in the link. The card says \"self-declared\" because nothing is checked against a repo.",
"inputSchema": {
"properties": {
"accent": {
"description": "The card colour as a hex, e.g. \"#7c3aed\". Optional; none means ink (black or white).",
"type": "string"
},
"description": {
"description": "What the agent does, in one line, up to 140 characters. Optional.",
"type": "string"
},
"icon": {
"description": "An https link to a picture for the logo spot, e.g. \"https://example.com/me.png\". Optional; none means the monogram. A square PNG (256 x 256, transparent background) or an SVG looks best.",
"type": "string"
},
"name": {
"description": "The agent's name, up to 100 characters.",
"type": "string"
}
},
"required": [
"name"
],
"type": "object"
},
"name": "faf_business_card"
},
{
"description": "Phase III (FRC §7b) — semantic search over a Grok Collection at the edge, KV-cached (1h TTL). Returns matched chunks (content, score, file). Requires the XAI_API_KEY secret; composes with faf_section (structural) for hybrid retrieval. Handled env-aware in the MCP handler (needs the key + KV).",
"inputSchema": {
"properties": {
"collection_id": {
"description": "The Grok Collection id to search.",
"type": "string"
},
"limit": {
"description": "Max chunks to return (default 5).",
"type": "number"
},
"query": {
"description": "The search query.",
"type": "string"
}
},
"required": [
"query",
"collection_id"
],
"type": "object"
},
"name": "faf_collections_search"
},
{
"description": "Estimate token count for arbitrary content via the Zig WASM engine. Sub-millisecond, zero allocations. Useful for context-budget planning.",
"inputSchema": {
"properties": {
"content": {
"description": "Content to estimate tokens for.",
"type": "string"
}
},
"required": [
"content"
],
"type": "object"
},
"name": "faf_estimate_tokens"
},
{
"description": "Phase III (FRC) — pre-promotion quality gate. Scores .faf content (edge Mk4) + estimates tokens and returns a deterministic promote/hold verdict BEFORE it goes to a Grok Collection. Promote IFF score >= min_score AND tokens <= max_tokens (defaults 85/8000). Edge parity with the local gate; the hold-hint can't list empty slots at the edge.",
"inputSchema": {
"properties": {
"content": {
"description": "Raw .faf YAML content to gate.",
"type": "string"
},
"max_tokens": {
"description": "Maximum tokens to promote (default 8000).",
"type": "number"
},
"min_score": {
"description": "Minimum score to promote (default 85).",
"type": "number"
}
},
"required": [
"content"
],
"type": "object"
},
"name": "faf_gate"
},
{
"description": "Resolve the FAF tier for a given numeric score. Returns the tier symbol (Trophy/Gold/Silver/Bronze/etc.) per the canonical tier-table.",
"inputSchema": {
"properties": {
"score": {
"description": "Numeric score 0-100.",
"type": "number"
}
},
"required": [
"score"
],
"type": "object"
},
"name": "faf_get_tier"
},
{
"description": "Phase III (FRC) — query the durable .fafm model by type/tag/priority/text. Omit filters for a structured summary. .fafm is NOT scored: this SELECTS facts (provenance preserved), never grades them.",
"inputSchema": {
"properties": {
"content": {
"description": "Raw .fafm YAML content.",
"type": "string"
},
"priority": {
"description": "Filter by priority (e.g. \"critical\").",
"type": "string"
},
"query": {
"description": "Case-insensitive substring match on fact text.",
"type": "string"
},
"tag": {
"description": "Filter by a tag.",
"type": "string"
},
"type": {
"description": "Filter by fact type (e.g. \"feedback\").",
"type": "string"
}
},
"required": [
"content"
],
"type": "object"
},
"name": "faf_memory"
},
{
"description": "Takes raw content strings (`.faf`, `.fafm`, and optionally `package.json`/`CHANGELOG.md`/`README.md`) and runs deterministic drift + contradiction signals across the FAF substrate. Returns a structured `Recommendation` (recommend, severity, reason, summary) with `hints` containing the current `effective_policy` and `partial[]` for any stateful signals unavailable on the current surface. Light-lane execution (hosted) is WASM-pure with no filesystem access. Heavy-lane execution (local via bunx/rust-faf-mcp) has full FS + persisted state. Advisory only — never auto-fires.",
"inputSchema": {
"properties": {
"changelog": {
"description": "Raw CHANGELOG.md content. Enables changelog cross-stamp checks.",
"type": "string"
},
"faf": {
"description": "Raw .faf YAML content (project DNA). Required for any meaningful analysis.",
"type": "string"
},
"fafm": {
"description": "Raw .fafm YAML content (memory layer). Enables drift detection.",
"type": "string"
},
"packageJson": {
"description": "Raw package.json content. Enables version cross-stamp checks (.faf vs pkg).",
"type": "string"
},
"readme": {
"description": "Raw README.md content. Enables README arch-tree cross-stamp checks.",
"type": "string"
}
},
"type": "object"
},
"name": "faf_orchestrate_recommendation"
},
{
"description": "Score .faf YAML content with the always-33 faf-kernel (WASM). Returns 0-100 (capped). The same score faf-cli and every FAF MCP give. Runs at the edge.",
"inputSchema": {
"properties": {
"content": {
"description": "Raw .faf YAML content. Souls with a [faf] section have it extracted automatically.",
"type": "string"
}
},
"required": [
"content"
],
"type": "object"
},
"name": "faf_score"
},
{
"description": "Phase III (FRC) — returns an EXACT, WHOLE .faf section by dotted path (e.g. \"stack\", \"human_context\"), structure preserved — the deterministic complement to blind chunking. Omit \"section\" to list every path.",
"inputSchema": {
"properties": {
"content": {
"description": "Raw .faf YAML content.",
"type": "string"
},
"section": {
"description": "Dotted path to retrieve (e.g. \"stack.backend\"). Omit to list all paths.",
"type": "string"
}
},
"required": [
"content"
],
"type": "object"
},
"name": "faf_section"
},
{
"description": "Validate .faf YAML content: true if mission-ready (always-33 score of 100).",
"inputSchema": {
"properties": {
"content": {
"description": "Raw .faf YAML content to validate.",
"type": "string"
}
},
"required": [
"content"
],
"type": "object"
},
"name": "faf_validate"
},
{
"description": "Generate a .faf file from any public GitHub repository WITHOUT cloning. Extracts 6 Ws from README, analyzes stack from languages and package.json, and generates Championship-grade AI context. Returns .faf content, quality score, and metadata.",
"inputSchema": {
"properties": {
"repo": {
"description": "GitHub repository URL or owner/repo format (e.g., \"facebook/react\" or \"https://github.com/facebook/react\")",
"type": "string"
}
},
"required": [
"repo"
],
"type": "object"
},
"name": "generate_faf_from_github"
},
{
"description": "Fetch a context soul by name. Returns structured AI context.",
"inputSchema": {
"properties": {
"soul": {
"description": "Soul identifier (e.g., \"spacex\", \"wolfe\", \"grok\")",
"type": "string"
}
},
"required": [
"soul"
],
"type": "object"
},
"name": "get_soul"
},
{
"description": "List all available context souls.",
"inputSchema": {
"properties": {},
"type": "object"
},
"name": "list_souls"
},
{
"description": "List all unique tags used in a soul, with counts.",
"inputSchema": {
"properties": {
"soul": {
"description": "Soul identifier",
"type": "string"
}
},
"required": [
"soul"
],
"type": "object"
},
"name": "list_tags"
},
{
"description": "Re-ground on .faf content — re-score with the always-33 faf-kernel (33 slots; slotignored slots drop out), report drift vs an optional baseline score, and return a stamped re-ground. The explicit re-grounding primitive for long sessions: drift → refresh → re-grounded. Built for Grok, by request.",
"inputSchema": {
"properties": {
"baseline": {
"description": "Optional last-known score (0-100). When provided, the drift delta (current - baseline) is reported.",
"type": "number"
},
"content": {
"description": "Raw .faf YAML content to re-ground on.",
"type": "string"
},
"verbatim": {
"description": "When true, return the full .faf content verbatim with the stamp. Default false (stamped delta + summary).",
"type": "boolean"
}
},
"required": [
"content"
],
"type": "object"
},
"name": "refresh_faf"
},
{
"description": "Find all entries in a soul with a specific tag.",
"inputSchema": {
"properties": {
"soul": {
"description": "Soul identifier",
"type": "string"
},
"tag": {
"description": "Tag to search for",
"type": "string"
}
},
"required": [
"soul",
"tag"
],
"type": "object"
},
"name": "search_by_tag"
},
{
"description": "Full-text search across souls. Returns matching lines only (token-efficient).",
"inputSchema": {
"properties": {
"query": {
"description": "Text to search for",
"type": "string"
},
"soul": {
"description": "Specific soul (optional, searches all if omitted)",
"type": "string"
}
},
"required": [
"query"
],
"type": "object"
},
"name": "search_context"
},
{
"description": "Discover tag patterns, co-occurrence, candidates, and merge suggestions across all namepoints. Optionally suggest tags for a specific handle.",
"inputSchema": {
"properties": {
"handle": {
"description": "Optional: suggest tags for this specific namepoint",
"type": "string"
}
},
"type": "object"
},
"name": "tag_intel"
}
]
}What the leaf hashes
{"body":"713ddd500ecc6fdfcdeef8935bdc170d15a18545d3cef6c331541811c244d995","id":577288,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793142555660198,"prev":null,"subject":"1b46af2a-25b8-4cc1-8df8-fa18ba4054ff","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