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Cross-TLD Registration Check

tld_check
Read-onlyIdempotent

Check how a prefix is registered across core TLDs, returning per-TLD status and aggregate counts.

Related: bulk_tld, available.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
prefixYesKeyword without extension (e.g., 'openai')

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
tldsNoStatus of core TLDs (com, net, org, io, ai, de). Values: registered, for_sale, expiring, or might_available
countNoTotal number of TLDs with this prefix registered
errorNoError message when success is false
prefixYes
successYes
gtlds_countNoNumber of gTLDs with this prefix registered
cctlds_countNoNumber of ccTLDs with this prefix registered

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is known. The description adds behavioral context by specifying the return shape (per-TLD status and aggregate counts) and the scope (core TLDs), which goes beyond the annotations. It doesn't contradict 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 two sentences, front-loaded with the action, and includes a compact pointer to related tools. Every sentence contributes value; no redundancy or filler.

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?

This is a simple read-only tool with one parameter and an output schema present. The description sufficiently communicates what it does and what it returns, and the output schema handles detailed return values. The mention of 'core TLDs' and aggregated counts completes the contextual picture without being verbose.

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 schema description for the single 'prefix' parameter is highly detailed ('Keyword without extension, e.g., openai'), providing 100% coverage. The tool description adds no parameter-level detail, so the schema carries the full burden. Baseline of 3 is appropriate.

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 checks registration of a prefix across core TLDs and returns per-TLD status plus aggregate counts. It uses a specific verb ('check') and resource ('prefix across core TLDs'), and explicitly names related tools (bulk_tld, available), distinguishing its cross-TLD scope from bulk and single-TLD alternatives.

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 provides clear context for when to use this tool: when you need to see how a prefix is registered across multiple TLDs. It names related tools (bulk_tld, available) as alternatives, but stops short of explicit 'use this instead of X when...' guidance. Still, the purpose and related tools give enough signal for appropriate selection.

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

A3.5/5.0
Disambiguation3/5

Many domain-search tools (active, aged, expired, deleted, market, nrds, nrds_live) have overlapping boundaries that depend on subtle lifecycle or listing distinctions, and pairs like bulk_tld/tld_check and nrds/nrds_live are easy to confuse. The detailed descriptions and related-tool hints help, but an agent still faces several nearly interchangeable choices.

Naming Consistency4/5

All tool names follow a consistent lowercase_snake_case convention, with no mixing of camelCase or inconsistent verb styles. However, the names use a noun/adjective pattern rather than a clear verb_noun action pattern, and acronyms like nrds, epp_status, and tld_rank make some names less predictable.

Tool Count2/5

32 tools is heavy for a domain toolkit, and several tools are close variants of the same search or check operation, such as active/aged/expired/deleted/market and nrds/nrds_live. The broad domain scope justifies some breadth, but the set would be much more focused with consolidation.

Completeness4/5

The toolset covers the core domain lifecycle well: availability, registration states, WHOIS, DNS, pricing, TLD statistics, safety, backlinks, typosquatting, and monitoring. The main gaps are that strategy can store data but has no retrieval or deletion action, and market pricing is limited to Sedo only.