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vivid-ads-commerce

vivid_place_order

Create a Shopify DRAFT order for Vivid Ads team review — NOT a final/placed order, and NEVER charges a card. Before calling, summarise the exact product, quantity, configuration, verified price (if available), customer details, and delivery/pickup, then get the customer's explicit confirmation. Call WITHOUT confirm to get a Review summary; confirm:true only AFTER they confirm. Do NOT auto-retry after a timeout without first checking whether a draft was already created. Payment is a secure invoice/pay-link from the team; production waits on proof approval.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNo
sizeNo
emailYes
itemsNoFor a MULTI-LINE order (e.g. two banners with DIFFERENT designs): one entry per line, each { product, size?, options?, quantity?, artwork? }. Different designs must be SEPARATE entries (quantity 1 each) with their OWN artwork. If provided, this replaces the single top-level product; contact/delivery/PO stay at the top level.
phoneNo
artworkNo{ mode:'ai_design'|'upload_file'|'design_brief', designId?, imageUrl?, printPdfUrl?, fileUrl?, brief? }
companyNo
confirmNoset true ONLY after the customer reviews and confirms
optionsNoFULL selected options (same shape as vivid_price.options). Use vivid_product to see them. Prefer this over `size` for option-rich products.
productNo
deliveryNopickup or delivery details. PICKUP: { method:'pickup', name, email, phone, pickupLocation?, notes? }. DELIVERY: { method:'delivery', name, email, phone, company?, address1, address2?, suburb, state, postcode, country, notes? }. Contact (name/email/phone) can live here or at the top level. Omit entirely to keep the old behaviour.
poNumberNo
quantityNo
customerTypeNoretail|corporate|school|government|account — sets payment terms

TDQS

A4.5/5.0
Behavior5/5

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

Even though annotations already show this is a write operation, the description adds highly valuable behavioural context: it creates a DRAFT only, never charges a card, payment comes later via secure invoice/pay-link, production waits on proof approval, and retrying risks duplicate drafts. No contradiction with annotations.

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?

Two dense but focused sentences: the most important distinction (draft vs. final/no charge) is front-loaded, and every clause carries actionable guidance. No filler, repetition is purposeful for safety-critical behaviour.

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?

For a 14-parameter tool with no output schema and non-idempotent behaviour, the description covers the essential invocation protocol, the retry hazard, the payment/production implications, and what kind of response to expect before confirmation. The nested object details are delegated to the schema, which is an appropriate split.

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 coverage is only 43%, and the description does not document every parameter. However, it gives important confirm semantics, explains what must be included in the payload (product, quantity, config, customer details, delivery/pickup), and clarifies that contact, delivery, and PO stay at the top level. This partially compensates for weak schema coverage, but many simple fields remain inferred rather than described.

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?

Description states exactly what the tool is for: 'Create a Shopify DRAFT order for Vivid Ads team review' and immediately clarifies what it is NOT: a final/placed order that charges a card. This makes it easy to separate from sibling quote, status, and fulfilment tools.

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?

Very strong workflow guidance: call without confirm to get a review summary, pass confirm only after explicit customer confirmation, and never auto-retry after a timeout without checking whether a draft was already created. It does not explicitly name alternative sibling tools for related decisions, but the when/when-not guidance is otherwise explicit.

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

A3.9/5.0
Disambiguation2/5

Several tools have overlapping purposes, particularly order status (vivid_order_status vs vivid_fulfilment_order_status vs vivid_fulfilment_production_stage) and artwork handling (vivid_artwork vs vivid_upload_artwork). An agent could easily select the wrong one without careful reading of the descriptions.

Naming Consistency4/5

All tools share the consistent 'vivid_' prefix and snake_case format. However, the second part mixes verb-noun patterns (place_order, check_artwork) with noun-based names (price, product, order_status), so the pattern isn't fully uniform but is still predictable and readable.

Tool Count3/5

At 25 tools, the server is at the heavy end of the borderline range. The broad scope (product discovery, pricing, ordering, artwork, fulfilment statuses, support) justifies most tools, but some overlapping status/artwork tools could be consolidated to reduce clutter.

Completeness4/5

The server covers the entire customer journey from product search, configuration, pricing, quoting, ordering, artwork upload/check, proof tracking, production/delivery status, to reordering. Minor gaps like explicit order update/cancel tools are missing, but support_answer covers those topics and the lifecycle is otherwise well-covered.

Resources