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Nautilinks Backlinks

Search the Nautilinks backlink catalog

search_sites
Read-onlyIdempotent

Use this when the user wants to find or compare websites where they can buy backlinks. Search the Nautilinks catalog by niche, language, minimum Trust Flow, maximum price per link, price shelf (Plancton 5 EUR / Corail 15 EUR / Nautilus 30 EUR), or run a free-text query. Returns domain, niche, authority metrics (TF/CF/RD/Moz DA), monthly traffic, ranked keywords, price per link and shelf for each match, plus each site's id (needed for get_site and create_order). Requires a Nautilinks API key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax results to return (default 20, max 50).
nicheNoFilter by niche/thematic label (e.g. 'finance', 'sante', 'voyage').
queryNoFree-text search across domain and niche label.
shelfNoFilter by price shelf: 'Plancton' (5 EUR, entry-level sites), 'Corail' (15 EUR, established sites with a real audience and a worked link profile), or 'Nautilus' (30 EUR, the network's strongest sites by traffic, age and link profile density). Omit to search across all three shelves.
min_tfNoMinimum Majestic Trust Flow.
offsetNoPagination offset (default 0). Use with the total count returned to page through results.
languageNoFilter by site language code (e.g. 'fr', 'en', 'de').
max_price_eurNoMaximum price per link, in EUR.

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds a required API key and outlines the return payload (domain, metrics, price, id) plus pagination via offset and total count. This goes beyond annotations by explaining authentication and the shape of results.

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?

Two sentences pack a lot of information efficiently: the first covers usage and filters, the second covers returns and prerequisites. The most important information (what it does) is front-loaded, and every clause earns its place—no redundant phrasing.

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?

For a read-only search tool with 8 optional parameters, all fully described in the schema, the description covers the key operational details: the return fields, pagination, and the required API key. It does not need to explain the schema because that is self-contained, and the description fills the gaps that the schema cannot (return shape, authentication, and the relationship to downstream tools).

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%, and the parameter descriptions are already detailed (e.g., shelf enum explains the tiers). The tool description merely summarizes the filter set without adding new semantic meaning beyond the schema. It does not clarify parameter syntax or edge cases, so a baseline 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 opens with a specific verb and resource ('Search the Nautilinks catalog') and enumerates the filter dimensions (niche, language, Trust Flow, price, shelf, free-text). It clearly distinguishes this from related tools by noting that the returned site id is 'needed for get_site and create_order', which tells an agent exactly when this tool is the entry point.

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?

It states the trigger condition ('when the user wants to find or compare websites where they can buy backlinks') and implies when not to use it, e.g. if you already have a site id you would use get_site, since the description says the id is needed for those tools. It doesn't explicitly name alternatives, but the context makes the intended usage clear.

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

A4.4/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: discovery (search_sites/get_site), articles, orders vs quotes vs balance, and AI project planning. The related-looking status tools are explicitly separated between quote payment and order fulfillment.

Naming Consistency4/5

The tool names mostly follow a clean verb_noun snake_case pattern like list_orders, get_order_status, create_order, and search_sites. 'about' is a minor deviation from that pattern, so it is not a perfect 5.

Tool Count5/5

Eleven tools is well-scoped for a backlink purchasing service and covers discovery, selection, order creation, payment verification, and fulfillment tracking. Each tool represents a distinct step or resource, and none feel redundant.

Completeness5/5

The tool set covers the full user journey: search sites, inspect a site, review articles, place an order, check balance/quote status, and monitor order fulfillment. There are no obvious missing operations that would leave an agent stuck in this domain.

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