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oc_task_run_start

Start a goal-level TaskRun to track user goals, success criteria, and progress across OpenChrome tool calls without altering browser tools.

Instructions

Start an opt-in goal-level TaskRun. Tracks user goal, success criteria, progress summary, item progress, and evidence across multiple OpenChrome tool calls without changing existing browser tools.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
goalYesREQUIRED User-level goal to track, redacted and capped at 4 KiB.
success_criteriaNoOptional concrete success criteria.
session_idNoOptional OpenChrome session id to associate.
workflow_idNoOptional workflow id to associate.
ledger_task_idsNoOptional #855 async ledger task ids to link when available.
auto_session_snapshotNoOptional #1013 policy. When enabled, TaskRun lifecycle tools write compact oc_session_snapshot artifacts without changing ordinary browser tools.
page_urlNoOptional current page URL. When pilot + skill-curator + OPENCHROME_AUTO_RECALL=1 are all enabled, the start response includes a `recalled_skills` field with up to 5 promoted curator skills for this URL's host — the host LLM uses them as priors for the goal.
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations indicate readOnlyHint=false and destructiveHint=false. The description adds that the tool does not change existing browser tools and tracks progress across calls. It provides behavioral context beyond annotations but does not detail prerequisites or side effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence that efficiently communicates the tool's core purpose without unnecessary words. Every phrase adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description lacks information about return values or side effects, which is critical for a start tool. No output schema exists, so the description should explain what the tool returns (e.g., task_run_id). This omission makes it incomplete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so parameters are well-documented in the schema. The description adds no additional meaning beyond what the schema already provides, maintaining the baseline score.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool starts an opt-in goal-level TaskRun, tracks user goal, success criteria, progress, and evidence. It distinguishes from sibling tools by specifying it is goal-level and does not change existing browser tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for tracking user goals across multiple tool calls, but does not explicitly guide when to use this tool versus alternatives like oc_task_start or oc_run_start. No exclusions or when-not-to-use are provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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