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printful_confirm_order

Confirm orders to initiate production and fulfillment, moving them from draft to pending status with charging and processing.

Instructions

Confirm an order to start production and fulfillment.

Moves order from draft to pending status. Order will be charged and
sent to production. Cannot be undone easily.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations indicate this is a non-read-only, non-destructive, non-idempotent, open-world operation. The description adds valuable behavioral context beyond annotations: it specifies the state transition (draft to pending), mentions charging and production initiation, and warns that the action 'Cannot be undone easily,' which is crucial for understanding irreversible consequences. This compensates for the lack of detailed annotations on mutability 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 front-loaded with the core purpose in the first sentence, followed by critical behavioral details in two concise sentences. Every sentence adds essential information—state change, consequences, and irreversibility—with no wasted words, making it highly efficient and well-structured.

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?

Given the tool's complexity (a state-changing operation with financial and production implications), the description provides sufficient context: it explains the purpose, usage timing, and key behavioral traits. With annotations covering basic operation hints and an output schema likely detailing the response, the description does not need to explain return values. It could improve by explicitly mentioning prerequisites (e.g., order must be in draft status) but is largely complete for informed use.

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?

The input schema has 1 required parameter (order_id) with 0% description coverage in the schema itself. The description does not mention any parameters, so it adds no semantic information beyond the schema. However, since there is only one parameter and the schema provides basic details, the baseline score of 3 is appropriate as the schema handles the minimal parameter documentation.

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 specific action ('Confirm an order'), the resource ('order'), and the outcome ('to start production and fulfillment'). It distinguishes this from sibling tools like 'printful_create_order' (which creates drafts) and 'printful_get_order' (which retrieves information).

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 provides clear context for when to use this tool: when an order is in draft status and ready for production. It implies this should not be used for orders already confirmed or for retrieval purposes. However, it does not explicitly name alternatives or state when not to use it, such as for order creation or lookup.

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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