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Name.ai MCP Server

tld_registration_price

Read-onlyIdempotent

Get the current USD price for a domain-lifecycle operation on a TLD (new registration, transfer-in, renewal, or restore from redemption).

Backed by GET /api/pricing/tld — public, no auth required. This is
name.ai's own registration pricing, not an aftermarket/marketplace price,
so it is never gated by sign-in status.

Args:
    tld: The TLD without a leading dot, e.g. "ai" or "com".
    operation: One of "register", "transfer", "renew", "restore".

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tldYes
operationNoregister

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already cover readOnly/idempotent/non-destructive. The description adds genuinely new behavioral context beyond those annotations: the underlying endpoint (GET /api/pricing/tld), that it is public with no auth required, and that access is never gated by sign-in status. This is exactly the kind of auth/access context the rubric credits.

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?

Front-loaded with the core purpose in the first sentence, then endpoint/auth, then the marketplace disambiguation, then an Args section. Every sentence earns its place; no filler or redundancy. The two-sentence auth and sign-in distinction could seem overlapping but the second half carries the marketplace-clearing context.

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 low-complexity read tool (2 params, 1 required, 1 enum) with rich annotations covering safety, the description covers purpose, auth, endpoint, and parameter formats thoroughly. The only notable gap is the return format (e.g., a numeric USD amount), but that is readily inferable from the tool's name and purpose.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description carries the burden — and it compensates well. For tld it adds format guidance ('without a leading dot') plus concrete examples ('ai', 'com'). For operation it expands the bare enum values with semantic meaning ('transfer-in', 'restore from redemption'), going beyond the schema's labels.

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?

Opens with a specific verb+resource+scope: 'Get the current USD price for a domain-lifecycle operation on a TLD', then enumerates the four operations (registration, transfer-in, renewal, restore). It further disambiguates from marketplace/aftermarket pricing, making its purpose unmistakable and distinct from siblings like search_domain and whois_lookup.

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?

Provides useful context by stating the endpoint is public, no auth required, and that pricing is name.ai's own registration pricing rather than aftermarket, so it is never gated by sign-in status. However, it does not explicitly name sibling alternatives or state when not to use this tool, leaving exclusions implicit.

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

A4.5/5.0
Disambiguation5/5

Each tool targets a distinct concern: availability/alternates, TLD pricing, TLD policy requirements, and WHOIS details. There is no overlap or ambiguous boundary between them.

Naming Consistency4/5

All names are snake_case and descriptive, but conventions are mixed: search_domain is verb_noun, whois_lookup is noun_verb, and the two tld_* tools are noun phrases. The tld_ prefix provides cohesion, making the set predictable despite the lack of a single uniform pattern.

Tool Count5/5

Four tools is well-scoped for a domain-information server. Each tool contributes a necessary capability without redundancy or bloat.

Completeness4/5

The surface covers the core domain-research lifecycle: availability, pricing, registry requirements, and existing registration details. A minor gap is the lack of any purchase/registration action, but the server appears intentionally informational rather than transactional.