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UVU-Store

shopify-graphql-mcp

by UVU-Store

complete_draft_order

Finalize a draft order by converting it into an order, with the ability to mark payment as pending.

Instructions

Complete a draft order and convert it to an order

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesDraft Order ID
paymentPendingNoMark as payment pending
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It mentions the core state transition (draft to order) but does not disclose side effects (e.g., what happens to the draft, whether payment is captured, or if the action is reversible). This is a significant gap for a mutation tool.

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 with no wasted words. It clearly conveys the tool's purpose in minimal space.

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?

The description is complete enough to understand the basic operation, but it lacks context for the paymentPending parameter's effect, any limitations, or what the response contains. Given no annotations and no output schema, the description should provide more context for an agent to make a fully informed decision.

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 description coverage is 100%, so the schema already documents both parameters. The description adds no additional meaning beyond the schema, so the baseline score of 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 description uses a specific verb ('Complete') and resource ('draft order') and clearly states the outcome ('convert it to an order'). It distinguishes this from sibling tools like complete_checkout, which operate on checkouts, not draft orders.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives, no prerequisites, and no exclusions. It only states what it does, leaving the agent to infer usage from context.

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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