docs: tighten prose audit after master retarget

docs/cookbook/adding-a-tool.md

@@ -36,7 +36,7 @@ Registration is effect-based: disposing the plugin fiber unregisters the tool (w
 - **Args are validated for you.** `defineTool` validates the model-generated `arguments` against the `SchemaSpec` before `execute` runs (type, required keys, enum membership, nested objects/arrays — [runtime arg validation](../rfc/implemented/architecture/2026-06-11-runtime-arg-validation.md)), so inside `execute` the args already match `InferArgs`. You still hand-check value constraints the DSL can't express (non-empty strings, positive numbers, cross-field rules); throw a descriptive Error for those. Raw JSON-Schema tools registered directly (MCP) are NOT validated by the harness — they validate their own input.
 - **Registration borrows your readonly definition.** A typed same-process contribution is not a serialization boundary; do not mutate its schema or replace callbacks after registration. `schemas()` materializes only the explicit model-facing projection. To hot-swap a tool, dispose its owning effect and register the replacement; mutable state inside the callback's closure remains ordinary plugin state.
 - **Execution identity is protected.** The registry materializes `arguments` as detached lossless JSON in one recursive pass, freezes that value before policy starts, and assigns an opaque `exec.token`; `callId`, `name`, `arguments`, `agent`, `token`, and an optional enclosing-transport `parent` token stay immutable through dispatch. `parent` is identity-only and exposes no live outer execution. Treat `args` as readonly input. An around-dispatch wrapper may add, replace, or remove only `exec.signal` to impose cancellation or a deadline.
-- **Throwing or returning non-JSON data means isError.** The registry catches anything `execute()` throws and materializes the complete post-policy result as lossless JSON before final observers run. A throw, malformed result, or non-JSON content/context/meta becomes `{isError: true}` so the live outcome cannot succeed and then fail at the durable log. Use errors for infrastructure failures (bad input, spawn errors, aborts), but report domain failures in the result text instead (for example, tool-bash returns `[exit code: 9]` with `isError: false` because the model decides what a failing command means).
+- **Throwing or returning non-JSON data means `isError`.** The registry catches throws and materializes the final result before observers run. A malformed or non-JSON result becomes `{ isError: true }`, preventing a live success that cannot be logged. Throw for infrastructure failures; report domain failures in result text when the model must interpret them.
 - **Honor `exec.signal`.** Cancel in-flight work when it fires.
 - **Attach durable card data with `meta` (optional).** `execute` may return `{ content, meta }` instead of a bare `ContentBlock[]` — `meta` is a JSON-serializable payload the core treats as opaque, persisted on the `tool/result` event and handed back to your `presentResult` (so a card that needs more than `args`, like `write`/`edit`'s applied-hunk diff, survives a session replay). Keep UI-only data here, never in the model-facing `content`.
 - **Use `exec.agent` for async notifications.** `agent.inject(content, {source: {kind: 'plugin', plugin: '<name>'}})` appends durable context the NEXT model request sees — it is not a wake-up (an idle agent stays idle). Guard against disposed agents (try/catch).
@@ -53,7 +53,7 @@ Prefer not to build deployment policy into the tool. Use `tools/pre-execute` for
 
 ## Code Mode reaches your tool for free
 
-Under the registry's non-native `mode` ([Code Mode](../../packages/core/tools/README.md)), each visible registered capability is callable from a `run_code` program as `await tools.<name>(args)` — nothing to add. The registry keeps `run_code` itself as reserved, unfilterable presentation infrastructure while restrictions still control which end capabilities appear in the scoped SDK and bindings. The generated SDK declares parameters from the same JSON Schema `defineTool` emits (constructs outside that subset degrade to `unknown`); each program call receives its own immutable execution whose `parent` is the enclosing `run_code` token, then re-enters the complete pre/guard/around/post/result pipeline. A failed call rejects the program-side promise with your error text. Design `description` and parameter `description`s as JSDoc a model reads while writing code, and remember that non-text result blocks reach programs as placeholders (text is the bridge's lingua franca).
+In [Code Mode](../../packages/core/tools/README.md), every visible registered tool is available as `await tools.<name>(args)` without extra integration. The SDK derives parameters from the same JSON Schema, and calls re-enter the normal execution pipeline. Write descriptions as model-facing API docs; non-text result blocks become placeholders in programs.
 
 ## How your tool renders in an editor (ACP presentation)
 
@@ -65,7 +65,10 @@ Both methods return a **`card`-tagged render intent** — pick the card kind tha
   - `{ card: 'generic', title, kind?, rawInput?, content?, locations? }` — the default. Set `kind` for an icon (`read`/`search`/…); set `locations: [{ path, line? }]` for any file your tool touches so a capable editor follows along / jumps to it.
   - `{ card: 'terminal', title, description?, cwd? }` — your call IS a shell command. `title` is the command, `description` renders above the terminal card. (tool-bash.)
   - `{ card: 'diff', title, diffs, locations? }` — your call creates or modifies a file. `diffs: [{ path, oldText, newText }]` (`oldText: null` for a new file) renders as an inline diff card. (tool-fs `write`/`edit`.)
-- `presentResult(args, { content, isError, meta? })` → a `ToolResultView` (the COMPLETED card): `{ card: 'generic', title?, content? }`, `{ card: 'terminal', title?, output?, exitCode?, signal? }` (the run's captured output + exit — the bridge shows an exit pill and derives a fenced ` ```console ` fallback for editors without the terminal capability), or `{ card: 'diff', title?, diffs }` (a completed file mutation — the applied hunks computed from the before/after content when there is a before-image, else a whole-file diff for a create; `write`/`edit` attach the hunks via the `meta` channel and read them back here). A mutation tool returns the `diff` result even when it duplicates the call-time card, because an ACP `tool_call_update.content` REPLACES the call's content — a non-diff result would clobber the pending diff. `result.meta` is your tool's own optional presentation payload, attached from `execute` (see below) and persisted so a replay reproduces the card.
+- `presentResult(args, { content, isError, meta? })` returns the completed card:
+  - `generic` supplies an optional title and content.
+  - `terminal` supplies raw output and optional exit metadata; the bridge renders the capability-specific or fenced fallback view.
+  - `diff` supplies applied hunks, often carried in persisted `result.meta` so replay reproduces them. Mutation tools keep a diff result because an ACP update replaces the pending card's content.
 
 Hard rules (they bite if broken):
 
@@ -77,4 +80,4 @@ The neutral vocabulary lives in `dsh-tools` (never import an ACP type into a too
 
 ## Tests every tool needs
 
-Arg-validation rejections, result shaping for every outcome, the HMR disposal test, and — for tools with side effects — an integration spec that drives the tool through the agent loop with a scripted `MockAdapter` (`packages/core/agent-loop/tests/mock-adapter.ts`), asserting the `tool/call` / `tool/result` session events. **If your tool has an editor card, also add:** a unit test on `presentCall`/`presentResult` asserting the exact view shape, AND — because a unit test proves the shape but not that an editor renders it — a **snapshot scenario** under `examples/acp-agent/tests/snapshots/` that drives the real tool through the ACP bridge and pins the rendered `tool_call` transcript (the card kind is only verified end-to-end there; see the [ACP snapshot-tests RFC](../rfc/implemented/testing/2026-06-19-acp-snapshot-tests.md)). A tool whose card is a `terminal` needs a scenario whose `input.json` sets `terminalOutput: true` to exercise the capable-client `_meta` path.
+Cover argument rejection, result shaping, and HMR disposal. Side-effecting tools also need an agent-loop integration test that asserts session events. Editor presentation needs exact unit coverage plus an ACP snapshot; terminal cards must exercise a client with `terminalOutput: true`.

docs/cookbook/extension-cookbook.md

@@ -56,7 +56,7 @@ export function apply(ctx: Context) {
 
 ## A client-driver plugin (external protocol bridge)
 
-A *client driver* is a UI plugin whose "user" is another program speaking a wire protocol rather than a human at a terminal. It owns the process's stdio (so it must run with **no stdout logger** — every non-protocol byte corrupts the stream), creates/resumes agents on demand through the `dsh-agent` factory seam, translates harness events (`session/event`, `agent/*`) into outbound protocol messages, and translates inbound requests back into `agent.send()` / `agent.cancel()`. Two harness-specific contracts make it correct: correlate and settle each request exactly once from the durable `turn/end` session event even if rendering fails, and tear each agent down through its `AgentHandle.dispose()` (which stops the loop, `await`s its exit, and unregisters), not just `cancel()` — disposal must *reach* quiescence, not merely request it.
+A *client driver* is a UI plugin for a wire-protocol peer. It owns stdio, so stdout logging must be disabled, creates or resumes agents through the factory, maps harness events to protocol messages, and maps requests to `send()` or `cancel()`. Settle each request exactly once from durable `turn/end`, even if rendering fails, and tear agents down with `AgentHandle.dispose()` so disposal reaches quiescence.
 
 `packages/ui/acp` is the worked example: it bridges the agent to the Agent Client Protocol (JSON-RPC over stdio) so Zed and other ACP editors can drive it. See its README for the full method surface and the permission-prompt answerer it registers on the approval seam.