# @deepseek-ai/dsh-tool-goal

The model-facing control surface for [`ctx.goals`](../goal/README.md): `get_goal`, `create_goal`, and `update_goal`. The [goal-tool Agent Note](../../../.agents/notes/implemented/feature/2026-07-19-model-facing-goal-tools.md) owns the authority split and Codex-shaped UX.

## Tools

- `get_goal()` returns the current goal or `null`, including the compare-and-set id/revision, durable phase, admitted/capped goal rounds, any blocker reason, and current process-local activation.
- `create_goal(objective, max_goal_rounds?)` creates one goal from a direct top-level human turn. The model may infer long-running goal intent without an exact command phrase; non-human turns and subagents are rejected at execution.
- `update_goal(goal_id, revision, action, objective?, max_goal_rounds?, blocked_reason?)` supports `edit`, `pause`, `resume`, `complete`, and `blocked`. Replacements belong only to `edit`; `blocked_reason` is required only for `blocked` and is persisted with the stable code `model-reported`.

All calls are exclusive, so a model-ordered batch observes earlier mutations and their new revisions. ACP and other clients receive pure generic cards: read for `get_goal`, other for mutations.

An autonomous goal round that successfully reports `complete` or `blocked` contributes the existing terminal `agent/turn-stop` decision for that physical turn. Direct-human mutations never contribute this stop: the assistant may acknowledge the change and concurrent human steering remains available to the loop.

## Authority

Execution requires the exact live `exec.agent`, its inherited `AgentRegistry` initiator, running status, and an open turn. Create, edit, pause, and resume additionally require an accepted `{ kind: 'user' }` message or steering event in a runtime-root agent's current turn. Durable fork lineage does not demote a resumed root; live subagent ownership does.

`{ kind: 'user' }` is a host attestation. `Agent.send()` and `steer()` assign it when their caller omits a source, so plugins, schedulers, and other non-human producers must pass their own source rather than inheriting human authority.

Complete and blocked also accept the exact current goal round: a goal-sourced `user/message` whose id, revision, and round equal the folded current goal. A goal-round blocked call is mechanically rejected until `blockedAfterConsecutiveRounds`; the model judges whether the same condition actually persisted and must describe it in `blocked_reason`. Direct human authority may stop a goal immediately.

## Config

```yaml
- id: tool-goal
  name: '@deepseek-ai/dsh-tool-goal'
  config:
    blockedAfterConsecutiveRounds: 3
```

The value must be a positive safe integer. It supplies both the hard lower bound on model self-blocking and the number named in model guidance.

## Model Experience

### System prompt

#### What the model sees

A fixed goal policy says when semantic human intent warrants creation, requires exact read-before-update refs, explains rearming after resume/fork, and limits completion/blocking claims. The configured threshold is interpolated into that guidance.

##### Goal policy

```markdown
Use goal tools for one long-running completion objective in the current session. create_goal may infer goal intent from a direct human request in any language; do not create a goal for routine single-turn work. Call get_goal before update_goal and copy its exact goal_id and revision. After session resume or fork, an active goal is disarmed: when a human asks to continue or resume in any wording or language, use update_goal action resume to rearm it. Mark complete only when the objective is actually achieved. Mark blocked only after the same blocking condition persists for at least 3 consecutive goal rounds, and report that concrete condition in blocked_reason; difficulty, uncertainty, or useful remaining work is not blocked.
```

#### Token effect

Small fixed input cost on every request where this plugin's prompt registration is in scope.

#### KV Cache effect

Prefix-stable while the plugin scope, configured threshold, and guidance text are unchanged. Activation, disposal, or configuration changes may invalidate reuse from this prompt section.

### Tool schemas and results

#### What the model sees

The generated [`get_goal`, `create_goal`, and `update_goal` schemas](../../../docs/tool-catalog.md#deepseek-aidsh-tool-goal). Successful results are compact JSON. Mutation results are followed by the goal domain's raw `<goal_state>` snapshot after the tool batch. `activation` in a result is a live observation and never becomes replay authority.

#### Token effect

Fixed schema cost plus one compact result per call. Mutations also retain the domain snapshot until compaction.

#### KV Cache effect

Schemas are prefix-stable while their definitions and visibility are unchanged. Calls, results, and resulting goal snapshots append after the reusable request prefix without invalidating earlier entries.

## Known Limitations and Deferred Work

- **Semantic intent remains model judgment** — execution can prove direct human provenance, not whether a request is substantial enough to merit a goal.
- **Same-condition blocking remains model judgment** — the runtime enforces distinct admitted-round count, not semantic equivalence of obstacles; an independent evaluator is deferred.
- **No scheduling or direct human rendering** — these tools mutate state only; the same-session driver and [`dsh-command-goal`](../command-goal/README.md) are independent consumers of the same domain.
- **Goal-round authority requires a driver** — the autonomous `complete`/`blocked` path is dormant unless a continuation driver admits goal-sourced user turns; mounting this tool package alone does not create them.
- **Prompt registration is independent of filtering** — a scope may hide the tools while retaining their guidance unless the deployment scopes both registrations together.
