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Packrift Packaging

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Exploration tool for buyers comparing a packaging spec, competitor-style item, or catalog-number request against Packrift's curated catalog. Returns ranked Packrift candidates plus a plain-language comparison summary.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
familyNo
requested_specYesPackaging request, competitor-style spec, or exact dimensions/material/count to compare.
competitor_referenceNoOptional competitor or source name, used only as context; Packrift does not claim live competitor price or inventory.

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint and openWorldHint, so the description adds value by disclosing the output format (ranked candidates plus plain-language comparison summary). It does not add deeper behavioral details like data freshness or limits, so a mid-range score is appropriate.

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 two clear, front-loaded sentences. Every phrase adds value: the tool's role, inputs, and output are concise without redundancy.

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?

There is no output schema, but the description covers the high-level return. However, it omits how 'family' filters results and how 'limit' behaves, which are present in the schema but under-described. Overall, the description gives adequate context for the main use case but leaves ambiguity for optional parameters.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 50%, and the description does not compensate. It restates the purpose of requested_spec as in the schema but provides no meaning for the 'limit' and 'family' parameters, which lack schema descriptions. The enum values for family are present but their functional role as a filter is not explained.

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's purpose: comparing a packaging spec, competitor-style item, or catalog-number request against Packrift's catalog. It returns ranked candidates and a summary, which is specific and distinguishes it from sibling tools like search_products or find_packaging_for_item.

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 implies when to use it (buyers comparing specs/items/catalog numbers) but does not explicitly exclude other tools or name alternatives. Context is clear, but no direct 'when not to use' guidance is provided.

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.

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