{
  "_note": "v1 pins tool names, tier, and required arg names/types only (247-RESEARCH.md open question 3; schema-hash pinning is a v2 option). FINAL AUTHORITY is the brain-side hermetic self-test landed in 247-03, which reconciles this file against buildBrainServer()'s real zod schemas and updates BOTH vendored copies (this one and the brain repo's own) on any mismatch. Authored from 247-RESEARCH.md's live census, not hand-guessed.",
  "contract_version": 1,
  "loop_tools": {
    "normalize_framework_name": { "tier": "read", "args": { "raw": "string" } },
    "search": { "tier": "read", "args": { "query": "string", "topK": "int<=20" } },
    "discover_structure": { "tier": "read", "args": { "framework_name": "string" } },
    "orchestration_readiness": { "tier": "read", "args": { "framework_name": "string" } },
    "feeds_into_chains": { "tier": "read", "args": { "seeds": "string[]", "max_hops": "int<=3" } },
    "brain_stats": { "tier": "read", "args": {} },
    "recommend_chain": { "tier": "read", "args": { "problem_type": "string", "max_steps": "int<=6" } }
  },
  "retired_remote": ["text2cypher", "brain_ask_anything"],
  "error_semantics": {
    "tier_denied": "HTTP 403 + MoatViolation body",
    "invalid_key": "HTTP 401"
  },
  "non_contract_note": "The remaining 15 read tools registered on the deployed Brain (load_framework, intra_framework_flow, framework_techniques, commands_for_problem_type, classify_problem_type, find_frameworks_for_problem_type, find_commands_for_problem_type, find_connections, find_bottlenecks, rank_influence, find_whitespace, structural_neighbours, brain_ask, brain_search, brain_schema) are non-contract: neither promised by this document nor scheduled for removal. Adjudicating them is out of this phase's scope (247-RESEARCH.md Pitfall 6).",
  "indexes": {
    "keep": ["mindrian_methodology_vec"],
    "keep_retired": ["mindrian_methodology_vec_openai"],
    "dropped": [
      "framework_embeddings",
      "concept_embeddings",
      "creativework_embeddings",
      "entity_embeddings",
      "person_embeddings",
      "product_embeddings",
      "vector"
    ]
  }
}