Overview
dsh-tool-goal
ctx.goals: get_goal, create_goal, and update_goal. The goal-tool Agent Note owns the authority split and Codex-shaped UX.This is an atomic module already shipped with Harness, not a standalone profile layer.
Capabilities
What it contributes
README / EN
Package documentation
@deepseek-ai/dsh-tool-goal
English | 中文
The model-facing control tools for ctx.goals: get_goal, create_goal, and update_goal. The goal-tool Agent Note owns the authority split and Codex-shaped UX.
Tools
get_goal()returns the current goal ornull, 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?)supportsedit,pause,resume,complete, andblocked. Replacements belong only toedit;blocked_reasonis required only forblockedand is persisted with the stable codemodel-reported. Strict-schema empty-string and zero fillers count as omitted, while meaningful values remain limited to their action.
All calls are exclusive, so a model-ordered batch observes earlier mutations and their new revisions. UI clients receive pure generic cards: read for get_goal, other for mutations. Mutation cards select the first meaningful action value and otherwise show the goal id, so accepted fillers never produce blank input.
All three canonical values match the compact JSON already rendered to Native callers: { goal: null } or { goal: { id, revision, objective, phase, roundsStarted, maxGoalRounds, blockedReason? }, activation }. Programmatic consumers therefore receive the same domain structure without parsing the rendered JSON.
An autonomous goal round that successfully reports complete or blocked marks that tool execution with concludeTurn() so the physical turn stops after the step. 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.followup() 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
- 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
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. Successful results are compact JSON. A mutation appends the goal domain's durable goal/change event without queuing model context. activation in a result is a live observation and never becomes replay authority.
Token effect
Fixed schema cost plus one compact result per call. The durable mutation adds no separate model-visible context.
KV Cache effect
Schemas are prefix-stable while their definitions and visibility are unchanged. Calls and results append after the reusable request prefix without invalidating earlier entries.
Known Limitations and Deferred Work
- Semantic intent remains model judgment — execution can prove that the current turn contains a direct human message, not whether the 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-goalare independent consumers of the same domain. - Goal-round authority requires a driver — the autonomous
complete/blockedpath 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.
LIMITATIONS
Known limitations
- **Semantic intent remains model judgment** — execution can prove that the current turn contains a direct human message, not whether the 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.
