7a72e45b93
Same canonical content, three thin adapters; FastMCP scaffold with the five gateway tools (layer-1 guard enforced by the lesson schema); M365 spec with assumed minimal DDL, read-only queries, extraction-time anonymization and a review-queue with no auto-merge. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01PDKeXvpT6tENSvyQGLV1Uq
80 lines
4.1 KiB
JSON
80 lines
4.1 KiB
JSON
{
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"tools": [
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{
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"name": "get_profession_context",
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"description": "Load the knowledge cascade for a profession: community profile (layer 1), then the caller's org overlay (layer 2), then the active project's lessons (layer 3). More specific beats more general; the response marks each block's layer.",
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"inputSchema": {
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"type": "object",
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"required": ["profession"],
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"properties": {
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"profession": { "type": "string", "description": "profession slug, e.g. project-manager" },
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"competence": { "type": "string", "description": "optional competence slug or ESCO URI to narrow the context" },
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"org": { "type": "string", "description": "org repo (owner/name); omit for community-only" },
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"customer": { "type": "string" },
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"project": { "type": "string" }
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}
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}
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},
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{
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"name": "propose_lesson",
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"description": "Submit a user-confirmed lesson as a pull request (never a direct commit). Runs the duplicate check in the target folder first and returns either the created PR link or the similar existing lesson with an update proposal. Enforces schemas/lesson.schema.json and rejects layer-1 submissions containing customer/company/person references.",
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"inputSchema": {
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"type": "object",
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"required": ["layer", "profession", "competences", "title", "body_markdown", "source"],
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"properties": {
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"layer": { "enum": [1, 2, 3] },
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"profession": { "type": "string" },
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"competences": { "type": "array", "items": { "type": "object",
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"properties": { "esco_uri": {"type": "string"}, "onet_soc": {"type": "string"} },
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"required": ["esco_uri"] } },
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"customer": { "type": "string", "description": "required for layer 3" },
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"project": { "type": "string", "description": "required for layer 3" },
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"title": { "type": "string" },
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"body_markdown": { "type": "string", "description": "the FULL text the user confirmed, word for word" },
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"source": { "enum": ["conversation", "m365-mail", "m365-chat", "m365-transcript", "promotion"] },
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"source_refs": { "type": "array", "items": { "type": "string" } },
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"update_of": { "type": "string", "description": "path of an existing lesson to update instead of creating a new file" }
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}
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}
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},
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{
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"name": "suggest_promotion",
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"description": "Scan an org repo for insights that appear in >= 2 projects (competence-URI + similarity match) and return promotion candidates (project -> overlay), plus overlay entries without company specifics as candidates for an anonymized community distillate. Suggestions only — nothing is moved automatically.",
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"inputSchema": {
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"type": "object",
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"required": ["org"],
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"properties": {
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"org": { "type": "string" },
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"profession": { "type": "string" }
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}
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}
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},
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{
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"name": "m365_list_new_items",
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"description": "M365 mining (read-only SQL): list unprocessed mails/chats/transcripts for a consenting user since the last run. Returns metadata + opaque item ids only.",
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"inputSchema": {
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"type": "object",
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"required": ["user_id"],
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"properties": {
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"user_id": { "type": "string" },
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"kinds": { "type": "array", "items": { "enum": ["mail", "chat", "transcript"] } },
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"since": { "type": "string", "format": "date-time" },
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"limit": { "type": "integer", "default": 50 }
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}
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}
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},
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{
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"name": "m365_extract_lesson_candidates",
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"description": "Run the distillation prompt over given item ids (raw text stays inside the service; only distillates leave). Applies the anonymization rules at extraction time and proposes customer/project assignment from metadata. Returns candidates for the review queue — never commits anything.",
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"inputSchema": {
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"type": "object",
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"required": ["user_id", "item_ids"],
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"properties": {
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"user_id": { "type": "string" },
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"item_ids": { "type": "array", "items": { "type": "string" } }
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}
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}
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}
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]
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}
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