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MadeCheck

Create order pack

create_order_pack

Create order pack. Open an order pack using title, style_count, materials and request_id; returns a queued publication, order_pack_id, version and charged_cents. charges credits. 开订单包。用 title、style_count、materials 和 request_id 开订单包;返回排队出版状态、order_pack_id、版号及 charged_cents。扣额度。 Coming soon: credits go on sale at madecheck.com. / 即将开放:额度将在 madecheck.com 发售。

Input Schema

NameRequiredDescriptionDefault
titleYes
materialsYes
request_idYes
style_countYes
company_queryNo
factory_title_zhNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior4/5

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

Beyond annotations (which only say non-read-only, non-destructive, not idempotent, closed-world), the description discloses that the operation consumes credits, that the result is a queued publication rather than an immediate one, and what fields come back including charged_cents. Missing detail on whether credits are refunded on failure or what the queued state implies for follow-up calls.

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?

The substantive content is front-loaded and reasonably tight, but the entire passage is duplicated verbatim in Chinese, roughly doubling length, and a promotional line about credit availability is appended. Both cost tokens without adding new information.

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

Completeness3/5

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

With no output schema, the description does list the returned fields, which is a real plus. However, for a credit-charging mutation with six parameters and a queued/async result, it omits cost magnitude, failure behavior, and what an agent should do next after receiving a queued publication.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate, but it only restates four parameter names (title, style_count, materials, request_id) with no format, constraints, or meaning. company_query and factory_title_zh are never mentioned, and the text/document variants of materials and the role of request_id as a dedup key are left unexplained.

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

Purpose4/5

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

States a specific verb and resource ('Create/Open an order pack') and names the key inputs plus the return shape (queued publication, order_pack_id, version, charged_cents). An agent can distinguish it from siblings like add_order_pack_material or get_order_pack, though no sibling is named explicitly.

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?

Usage is only implied: 'charges credits' plus the note that credits go on sale at madecheck.com signals a prerequisite (credit balance) and a current availability constraint. There is no explicit when-to-use/when-not guidance or routing to alternatives such as cancel_order_pack or add_order_pack_material.

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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