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Glama

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

search_diamonds

Read-onlyIdempotent

Search 25karats' in-stock IGI/GIA-certified lab-grown loose diamonds (center stones for engagement rings) by shape, carat, color, clarity, cut, and price. Prices are the live customer price in USD. Each stone includes certificate details, measurements, and image/video links when available. A chosen stone is paired with a ring setting on-site.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cutNoCut grade as a label or certificate code: 'Ideal' (ID) or 'Excellent' (EX)
labNoGrading lab, e.g. IGI or GIA
pageNo
sortNo
colorNoOne color or an array; D through K
limitNoMax 50
shapeNoOne shape or an array, e.g. 'Round' or ['Oval','Emerald']
polishNoPolish grade as a label or certificate code: 'Excellent' (EX), 'Very Good' (VG), 'Good' (GD)
clarityNoOne clarity or an array, e.g. 'VS1' or ['VS1','VVS2']
stock_noNoExact stone lookup by stock number
symmetryNoSymmetry grade as a label or certificate code: 'Excellent' (EX) or 'Very Good' (VG)
carat_maxNo
carat_minNo
price_maxNo
price_minNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageYes
diamondsYes
per_pageYes
browse_urlYes
total_countYes

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already cover read-only and idempotent nature. The description adds transparency about result contents (certificate details, measurements, image/video links) and the pairing behavior with ring settings, which goes beyond annotations without contradicting them. However, it does not detail any rate limits or error behavior, but that's acceptable 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?

The description is composed of three concise sentences, each adding distinct information: the search function, the results details, and the on-site pairing. No redundant or vague language. It is well-structured and easily digestible.

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?

For a complex tool with 15 parameters, the description provides a solid overview of purpose and return contents. It does not explicitly explain pagination or range filtering, but given the schema descriptions for many parameters and the tool's focused nature, it is sufficiently complete for an agent to use it correctly in most cases.

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?

The description mentions the primary filter attributes (shape, carat, color, clarity, cut, price) but does not elaborate on the range parameters (e.g., carat_min/max, price_min/max) or pagination (page, limit). The schema descriptions cover 60% of parameters, but the tool description adds little beyond that, and missing descriptions for some parameters remain ambiguous.

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 specifies the tool's function: searching for lab-grown diamonds with specific attributes (shape, carat, color, etc.) from 25karats, including certifications, in-stock status, and purpose (engagement rings). This is a distinct and precise purpose that differentiates it from siblings like search_products or browse_collection.

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 the tool is for diamond-specific searches, but it does not explicitly state when to use it over general alternatives like search_products. However, the specialization is clear enough (only diamonds, with engagement ring context), so usage is reasonably well implied.

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