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Packrift Packaging

Get bulk quote link

get_bulk_quote_link
Read-onlyIdempotent

Return a quote-request URL for an exact packaging spec or SKU. Use when no exact match exists or the buyer needs bulk or procurement review.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
skuNoOptional Packrift SKU to prefill if the quote relates to a known product.
familyNoOptional product family such as boxes, labels, mailers, tape, or poly_bags.
reasonNoOptional reason for quote handoff.
quantityNoOptional buyer quantity. Numbers are accepted and coerced to string.
requested_specYesExact unavailable or bulk quote packaging spec.

TDQS

A4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint, so the safety profile is covered. The description adds the context that it returns a URL and is intended for bulk/procurement review, but no additional behavioral details such as authentication or rate limits. This is adequate given the 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 sentences, direct and front-loaded. The first sentence states the action and resource, the second gives the usage context. No redundant or filler content.

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 simplicity, a 5-parameter schema with no output schema, the description sufficiently explains what it returns (a URL) and when to use it. It could mention how the URL should be used, but the purpose and usage are clear enough to invoke correctly.

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 every parameter is already well-documented. The description adds only marginal meaning by tying the purpose to 'exact packaging spec or SKU,' but it does not explain any parameter semantics beyond the schema. Baseline 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 clearly states the tool returns a quote-request URL for a packaging spec or SKU, and explicitly notes it is for cases with no exact match or bulk/procurement needs. This distinguishes it from sibling tools like get_product or search_products.

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 gives a clear 'when to use' condition: 'Use when no exact match exists or the buyer needs bulk or procurement review.' It does not explicitly name alternatives or provide a 'when not' clause, but the condition implies when not to use it.

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
Disambiguation4/5

Most tools have clearly distinct purposes, but there is potential confusion between inventory-checking tools (check_inventory vs. inventory_status) and cart-handoff tools (create_cart_url vs. prepare_purchase_handoff). Descriptions help differentiate, but an agent might occasionally select the wrong tool.

Naming Consistency4/5

The naming convention is generally consistent with verb_noun in snake_case (e.g., find_packaging_for_item, get_pricing). However, google_retail_ai_finder breaks the pattern with a company prefix, and some verbs vary (check vs. inventory_status). Overall clear and predictable.

Tool Count4/5

16 tools is slightly above the ideal 3-15 range, but still reasonable for a packaging e-commerce domain covering search, fit, inventory, pricing, shipping, and cart creation. Each tool serves a specific need, so the count feels appropriate.

Completeness4/5

The tool surface covers the core customer journey: product discovery, fit calculation, inventory/pricing checks, shipping estimation, cart handoff, reordering, and bulk quotes. Minor gaps exist (e.g., no order tracking or cancellation), but these are likely out of scope.

Resources