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ArvaNet

NameSniper - Username & Domain Monitoring

namesniper_generate

Generate AI-powered brand name ideas from a business description, each with a live .com availability check, to identify available domain names.

Instructions

Generate new brand name ideas with AI from a business or project description, each enriched with a live .com availability check. Non-deterministic: repeated calls produce different names (identical requests are served from a 24-hour cache and flagged with cached: true). Typical latency 5-30 seconds. Returns JSON names[] with the name, an explanation, tags, a confidence score, and comAvailable. Requires an API key (paid plan) and counts against a daily generation quota. To riff on a name the user already has, use namesniper_alternatives instead (free, deterministic).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNoNumber of names to generate (default: 25)
styleNoStyle: modern, classic, tech, creative, professional, playful, abstract, luxury, minimalist
descriptionYesBusiness or project description to generate names for
Behavior5/5

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

With no annotations provided, the description fully carries the burden. It discloses non-determinism, caching with cached:true, latency, return structure (names[] with fields), auth requirements, and quota. This is exceptional behavioral transparency beyond standard 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 front-loaded with the main purpose, then efficiently covers nontrivial behavior, output, requirements, and an alternative in a few compact sentences. Every sentence provides unique, necessary information without redundancy.

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 that there is no output schema, the description explains the exact JSON return format. It covers purpose, behavior, latency, caching, auth, quota, and alternatives, making it fully self-sufficient for an agent to decide when and how to invoke the tool.

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 baseline is 3. The description does not add extra semantic detail beyond the schema's parameter descriptions (count, style, description), but it doesn't need to since the schema already explains each param clearly.

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 begins with a specific verb+resource: 'Generate new brand name ideas with AI from a business or project description,' and immediately distinguishes the tool from sibling namesniper_alternatives by stating that the alternative is for riffing on existing names. This clearly identifies the tool's unique function and scope.

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?

The description explicitly says when to use this tool (to generate names from a description) and names the alternative for when the user already has a name: 'To riff on a name the user already has, use namesniper_alternatives instead.' It also notes requirements (API key, paid plan, daily quota) that affect usage decisions.

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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