name-check
Server Details
Live brand-name availability checks: US trademark (USPTO), domains, social handles, app stores.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
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Tool Definition Quality
Average 4.6/5 across 1 of 1 tools scored.
Only one tool exists, so there is no ambiguity between tools.
The single tool follows the verb_noun pattern with check_name, which is consistent.
One tool attempts to cover trademark, domain, social, and developer namespace checks, which is too few for the broad scope.
The tool covers a wide range of availability checks, leaving only minor potential gaps like additional TLDs or platforms.
Available Tools
1 toolcheck_nameCheck name availabilityARead-onlyInspect
Check whether a brand, business, product, or app name is available. Runs a real-time availability check across: the US trademark registry (USPTO — live registry data, not guesses), domain names (.com, .io, .co, .app, .dev, with registration prices), social handles (X/Twitter, Instagram, TikTok, LinkedIn), developer namespaces (npm, PyPI, crates.io, GitHub, Docker Hub), and the iOS App Store. Returns a structured verdict (clear / caution / conflict), an overall viability band, and a link to the full interactive result. Use this whenever a user is brainstorming, choosing, or validating a name for a startup, company, product, app, or project and wants to know if it is taken, trademarked, or safe to use. Call once per candidate name. Free, no API key (shared daily fair-use pool). Data by nombrio.com.
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | The candidate name to check, e.g. 'Lumeo'. Plain name only — no URL, no TLD, no @handle. One name per call. |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations declare readOnlyHint and openWorldHint; description reinforces these by stating it's a real-time check on live registry data. It discloses free usage, fair-use pool, no API key, and the structured return (verdict, viability band, link). No contradictions with annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single paragraph with multiple sentences, each adding essential detail. It front-loads the main purpose and follows with scope, output, usage, and attribution. Slightly verbose but efficiently covers all key points.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Despite no output schema, the description explains return type (verdict, viability band, link). It covers all context needed for a simple tool: when to use, what it checks, limitations, and attributes. No gaps given the low complexity (1 param, no nested objects).
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100% for the one parameter 'name', which already describes constraints (plain name, no URL/TLD/handle, example). The tool description adds the same example and reiterates limitations, offering marginal added value beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'check' and resource 'name availability' with explicit scope (brand, business, product, app name). It lists all registries checked (USPTO, domains, social handles, dev namespaces, iOS App Store). No sibling tools exist, so differentiation is not needed.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides explicit guidance: 'Use this whenever a user is brainstorming, choosing, or validating a name... Call once per candidate name.' It also specifies constraints (plain name, no URL/handle) and gives context about the tool's role in the name validation process.
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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