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Atom.com — Premium Domains

generate_domain_names

Read-only

Invent NEW brandable domain name candidates for a concept, then ground each against live availability and Atom premium inventory — so every returned name is actually obtainable. Use when search_brandable_domains' curated results aren't enough, or the user explicitly wants fresh/invented/made-up names they can register. (For existing curated listings, prefer search_brandable_domains.)

Returns results[], each with: domain (full name incl. extension), status ('available' = registrable now | 'premium' = an Atom listing), price + currency when known, style_tags, and url. Only names with availability/price attached are returned — never ungrounded ideas. Present as a list noting which are register-now vs Atom premium listings.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNoNumber of candidates to return (capped server-side).
styleNoOptional stylistic preferences.
conceptYesThe idea, product, or business to generate names for.
industryNoOptional industry or category.
extensionsNoOptional preferred extensions.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesAtom marketplace search URL for the concept.
countNoNumber of candidates returned.
conceptNo
resultsYesInvented candidates, each grounded against live availability/inventory.
successYes

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already indicate safe read (readOnlyHint=true). The description adds that only names with availability/price are returned, providing behavioral clarity beyond annotations. No contradiction found.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with primary purpose first, then usage guidance, then return details. It is somewhat lengthy but each sentence adds value.

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?

The description fully explains the tool's behavior, return structure, and context for use, complemented by the output schema mention. Sibling tools are listed, providing complete context.

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 the schema already documents all parameters. The description does not add significant parameter-level details beyond the scope implied by the tool's purpose.

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 invents new brandable domain names and grounds them against availability, distinguishing it from the sibling tool search_brandable_domains which returns curated listings.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly says to use this tool when search_brandable_domains' curated results aren't enough or when the user wants fresh/invented names, and to prefer search_brandable_domains for existing curated listings.

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

A4.1/5.0
Disambiguation2/5

Several tools serve the same resource+action through different payment channels (e.g., register_domain, register_domain_spt, get_domain_register_pay_link; purchase_domain, get_domain_purchase_pay_link, get_checkout_link; buy_ai_tokens, get_ai_tokens_pay_link). brainstorm_names is explicitly a duplicate of search_brandable_domains, so the set has multiple confusing overlaps despite detailed descriptions.

Naming Consistency4/5

Most tool names follow a predictable snake_case verb_noun pattern (appraise_domain, check_domain_availability, purchase_domain, screen_trademark_conflicts). Minor deviations like brainstorm_names, register_domain_spt, and get_checkout_link break the pattern slightly but remain readable and recognizable.

Tool Count3/5

Sixteen tools is right at the boundary where a tool set starts to feel heavy. Many tools are legitimately needed for discovery, purchasing, and payment routing, but the duplicate name-generation tool and the multiple payment-route variants add unnecessary bulk.

Completeness4/5

The core domain lifecycle is well covered: search/discovery, availability checks, details, appraisal, trademark screening, registrant contact, and both fresh registration and marketplace purchase paths are present. Minor gaps exist around post-purchase management, account balance visibility, and offer submission, but the main user journey has no significant dead ends.