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RushOrderTees

Get priced options

get_options

Returns priced options with lead times once the order is fully described and the artwork has passed the print check. Present them to the customer; each has an id for choose_option. In clients that render our option picker the customer can pick there, and you will see the choice as a message. Call it again whenever the customer asks to see or reconsider the options; it costs nothing. Prices come from us and cannot be passed in.

Input Schema

NameRequiredDescriptionDefault
order_idYesThe order_id returned by start_print_order.

Output Schema

NameRequiredDescriptionDefault
specYesThe print as the customer has described it so far, beside garment. Null where they have not said; still_needed lists what is missing.
notesYesRelay these to the customer.
savedYesWhether the order is saved to a customer account (save_progress).
statusYes
artworkNo
choicesNoAnswers the customer can pick from, one set per field ask_next asks about. Offer them as selectable options where your client can, otherwise as a short list. They are suggestions: colors are families and the customer may name any shade, quantity and width may be any number. Send whatever they answer to describe_order.
garmentNoThe garment on the order, and what mockup_url shows. Name it when you show the picture; when it is provisional, say so.
optionsNo
ask_nextNoAsk the customer this, in your own words, and send the answer to describe_order.
order_idYes
next_callYesWhat to call next, and why.
expires_atNoWhen an unsaved order expires; null once it is saved to an account or paid.
mockup_urlNoThe garment on the order, in the customer's color, with their design on it once we have it. An image address: show it as a picture where your client can, never as text or as a link, and never describe it in place of the summary.
alternativesNoPresent from the moment several styles fit until the customer picks, beside whatever ask_next asks: show all of them with their summaries and prices, say the first is what we will use unless they choose, and call choose_style with the id they pick (or send "any" to describe_order to keep the first).
checkout_urlNoShow it to the customer as one link labeled "Pay and enter shipping", not as a bare address: they see the artwork and total, confirm their email with a code we send them, then pay and enter their address there.
mockup_viewsNoEvery side of the garment, the printed one first: mockup_url with the design, then the other sides plain. Where your client can show pictures, show them all, so the customer sees which sides stay blank.
still_neededYesFields the customer has not told us yet, and any go-ahead we are waiting on for something the order cannot carry.
chosen_optionNo
artwork_upload_urlNoPresent until the design is accepted. Show it to the customer as one link labeled "Upload your design", not as a bare address: they drop their design file on that page and it is checked there. You cannot upload for them.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

The description adds concrete behavioral context: it is free to call ('it costs nothing'), repeatable, and prices are server-supplied ('cannot be passed in'). It also discloses the precondition that the artwork must pass print check. However, it does not explain why the annotation has readOnlyHint=false, leaving the non-read-only side effect unspecified.

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

Conciseness4/5

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

The description is front-loaded with the core behavior and prerequisites, then moves to practical usage. Most sentences earn their place, though the picker-specific sentence is somewhat niche; overall it is efficient and well-structured.

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

Completeness5/5

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

Given the tool has an output schema, the description need not explain return values. It covers prerequisites, how to use the returned options, repeat-call behavior, and cost, leaving no critical gap for an agent deciding how and when to invoke it.

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% and the single order_id parameter is already documented as coming from start_print_order. The description adds no parameter-specific meaning beyond what the schema provides, so the baseline of 3 applies.

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 states a specific verb and resource: 'Returns priced options with lead times'. It also names prerequisites ('order is fully described and the artwork has passed the print check'), which distinguishes this tool from siblings like describe_order or submit_artwork.

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

Usage Guidelines5/5

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

It explicitly says when to call (after order description and print check), what to do with results (present to customer), and how to proceed (each option has an id for choose_option). It also covers repeated calls ('whenever the customer asks to see or reconsider') and alternative client behavior via the option picker.

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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