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mcp-coreclaw

create_worker_task

Create a new saved CoreClaw worker task with input and optional schedule.

WHEN TO USE: Use when the user wants to save a worker configuration as a reusable, scheduled task. 中文触发: 当用户要在 CoreClaw 中查询、运行、重跑、停止、导出或查看对应 worker/run/task 数据时使用。

WHEN NOT TO USE: Do not use public web search or code search for private CoreClaw platform data. Do not call excluded internal worker-version or internal-detail APIs.

RETURNS: JSON with the created task details including slug.

WORKFLOW: Follow with run_worker_task using the returned worker_task_id.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleYesTask title. Example: "Daily Amazon Price Check".
versionNoWorker version. Defaults to current worker version. Example: "latest" or "1.0.1". (optional)
worker_idYesWorker slug or owner path. Example: "demo-worker" or "owner~demo-worker". Obtain from list_store_workers or list_workers.
input_jsonYesTask input parameters as a JSON object string. Example: {"keyword":"coffee","limit":10}. Schema comes from get_worker_input_schema.
descriptionNoTask description. (optional)
schedule_dayNoDay of month for monthly schedule (1-31). (optional)
schedule_timeNoSchedule time in HH:mm format. Example: "09:00". (optional)
schedule_typeNoSchedule type: 1=daily, 2=weekly, 3=monthly, 4=once. (optional)
schedule_enabledNoSchedule switch: 0 disabled, 1 enabled. (optional)
schedule_weekdayNoDay of week for weekly schedules: 1=Monday … 7=Sunday. (optional)
schedule_once_dateNoOnce schedule date in YYYY-MM-DD format. Example: "2026-12-25". (optional)

TDQS

A4/5.0
Behavior4/5

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

Annotations already indicate this is not read-only, idempotent, or destructive. The description adds useful behavioral context: the task is 'saved', returns JSON with a slug, and should be followed by run_worker_task using the returned worker_task_id. It lacks auth/error details but provides meaningful extra context.

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

Conciseness3/5

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

Section labels (WHEN TO USE, RETURNS, WORKFLOW) provide structure, but the Chinese trigger sentence lists many actions (query, run, rerun, stop, export, view) unrelated to creation, and the WHEN NOT TO USE includes boilerplate about internal APIs that adds noise. Reasonably sized but not every sentence earns its place.

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

Completeness4/5

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

With 11 parameters and no output schema, the description covers purpose, return value, and next workflow step, which compensates for the missing output schema. It doesn't cover error/auth behavior, but given the schema's parameter coverage, the description is sufficiently complete for a create tool.

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?

Input schema covers all 11 parameters with descriptions (100% coverage), so the description adds little beyond 'input and optional schedule.' The schema does the heavy lifting, and the description does not introduce new parameter semantics. Baseline 3 is appropriate.

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 first sentence states a specific action ('Create') on a specific resource ('new saved CoreClaw worker task') with clear scope ('with input and optional schedule'). This clearly distinguishes it from siblings like update_worker_task and run_worker_task.

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

Usage Guidelines4/5

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

The description includes both WHEN TO USE and WHEN NOT TO USE sections, advising use when saving a reusable, scheduled task. It references run_worker_task in the workflow but does not explicitly name alternative tools like update_worker_task for editing existing tasks, so it stops short of full 5.

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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TDQS

A3.7/5.0
Disambiguation3/5

Most tools follow a systematic scope pattern (user's last run, worker's last run, specific run), so intent is discernible, but the reversed word order (e.g., get_last_worker_run vs get_worker_last_run) makes many tools easy to conflate. Descriptions are thorough, yet the sheer number of near-identical names creates real misselection risk.

Naming Consistency3/5

Verbs and nouns are consistently snake_case, but the modifier order alternates unpredictably—some tools say last_worker_run, others worker_last_run—across abort/export/get/list/rerun groups. This inconsistency makes the set feel less coherent than a strict verb_noun pattern would.

Tool Count2/5

At 42 tools, the surface is heavily inflated by triplicating every run-related action across user-last, worker-last, and specific-run scopes. Many of these could be consolidated into a single tool with optional worker_id/run_id parameters, making the count feel excessive for the domain.

Completeness4/5

The surface covers the full lifecycle of workers, runs, tasks, queue, and account, including poll/verify/batch operations that go beyond basic CRUD. Minor gaps exist (e.g., no explicit run-input retrieval, no worker editing), but agents can achieve all common workflows without dead ends.

Resources