Turns the design doc into an ordered, dependency-correct build plan (phases 0-9) with an exit criterion per phase, and records the twelve architectural decisions it rests on as ADRs. Decisions: single Rust binary with routed compose services; Streamable HTTP only; per-agent bearer tokens with clientInfo as a display hint only; SQLite; get_rules delivered via session gating; full-document rule delivery; project_id from day one; enforcement tier scoped to Bridle-mediated actions; stable tool list on upstream failure; OpenAI-compatible embeddings with model/dim guarding; pattern RAG gated behind a spike; CLAUDE.md + AGENTS.md as v1 renderer targets. Deviates from the design doc's original 1-8 ordering by moving the audit log and multi-project schema into phase 1, building the admin API incrementally rather than all at the Web Panel phase, downgrading vendor guardrail sourcing to manual-first, and gating the pattern-example RAG behind a validation spike. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_019RZerbsHGF9Ka3bKhCjJ9m
1.9 KiB
1.9 KiB
ADR-0005: Rules delivered via get_rules, enforced by session gating
Status: Accepted (2026-08-08)
Context
Bridle's premise is that the canonical ruleset governs every agent session. But an MCP server can
only offer a get_rules tool — it cannot make a model call it. Meanwhile Claude Code auto-loads
CLAUDE.md from disk and Codex auto-loads AGENTS.md from disk, unprompted, every session. A tool
the model may skip is strictly weaker than a file the harness injects.
Three delivery mechanisms were considered:
- A local sync client (
bridle syncor a session-start hook) writing rendered files to disk — reliable across agents today, but adds a client-side component the design doc does not have. - The
instructionsfield of the MCPinitializeresult — no client install, but whether a given client injects it into the system prompt varies and would need per-agent empirical testing. - The
get_rulestool alone — matches the design doc, but leaves delivery best-effort.
Decision
Deliver rules through the get_rules(project_id, agent_type) tool, and make it reliable by
gating the session: any other tool call before get_rules has succeeded returns a structured
error naming the required call. Per-session state tracks whether rules have been fetched.
Consequences
- Delivery becomes effectively guaranteed using only the in-band MCP mechanism — no client-side component to install or maintain per agent.
- Costs one extra round-trip at the start of each session.
- The error message is part of the product surface and must be unambiguous enough that an agent recovers on the first try.
- Populating the
initializeinstructionsfield remains available later as belt-and-braces. It reuses the same renderer, requires no client install, and does not change this architecture. - Session state now matters: the gate flag must be scoped to the MCP session, and session loss means re-fetching.