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25karats — Made-to-Order Wedding & Engagement Rings

get_product_images

Read-onlyIdempotent

Every gallery image for a product with high-resolution URLs. Each image lists only renditions that actually exist, largest first — modern photography is 2048x2048 WebP at the 'original' size — plus the metal tone, band width, and finish the photo shows, and descriptive alt text. Identify the product by exactly one of slug, style_code, or url.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNo
slugNo
metal_toneNoOptionally return only photos showing this metal tone
style_codeNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleYes
imagesYes
style_codeYes
image_countYes

TDQS

A4.7/5.0
Behavior5/5

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

Annotations already declare read-only, idempotent, and non-destructive behavior. The description additionally clarifies output details (largest first, only existing renditions), which aligns with annotations and adds transparency about result content without contradicting them.

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 concise, with no redundant or irrelevant wording. It packs essential details (output specifics, identifier usage) into two sentences, making it efficient and easy to parse.

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 schema, annotations, and sibling tools, the description is complete. It covers what the tool does, input constraints, and output characteristics, leaving no ambiguity for an agent to use the tool correctly.

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

Parameters4/5

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

The description explains that url, slug, and style_code are identifier alternatives and that exactly one must be used. This adds significant meaning beyond the schema. Metal_tone is not further elaborated, but schema provides its enum and description, so overall parameter semantics are well-covered.

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 gallery images with high-resolution URLs and specific photo attributes (metal tone, band width, finish, alt text). It is distinct from siblings like get_product or search_products, which are for general product info or search.

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 explicitly instructs to identify the product by exactly one of slug, style_code, or url, providing clear usage guidance. However, it does not mention when to use this tool over alternatives, though that is implicit from the tool's purpose.

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

A4.6/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: browse_collection is for deterministic category browsing while search_products is for free-text discovery, and get_product, get_product_images, and price_product each cover a separate aspect of product research. The diamond search is also cleanly separated from catalog product search.

Naming Consistency5/5

All eight tools follow a consistent snake_case verb_noun pattern: browse_, get_, list_, price_, and search_. Any variability is purely semantic (e.g., list_collections vs browse_collection) rather than a style mismatch.

Tool Count5/5

Eight tools is well-scoped for a made-to-order jewelry e-commerce assistant: taxonomy, product search/browse, product detail, images, pricing, diamond inventory, and store policy information are all covered without redundant or unnecessary tools.

Completeness5/5

The tool set covers the full shopper journey: discover collections, search products, inspect product details and images, configure and price a product, research diamonds, and find store policies. The deep_link_url from price_product provides an effective handoff to checkout, eliminating any hard dead end.

Resources