Skip to main content
Glama
hostinger

hostinger-api-mcp

Official
by hostinger

Suggest domain names from a domain

domains_suggestDomainNamesFromADomainV1
Read-only

Suggest alternative domain names when your desired domain is already taken. Provide a base domain and the number of suggestions needed to receive AI-generated close alternatives.

Instructions

Suggest available domain names based on a domain name you already have in mind.

Suggestions are generated by an AI model, so they differ between calls.

Endpoint has rate limit of 90 requests per minute.

Use this endpoint when the domain you wanted is taken and you need close alternatives.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitYesAmount of domain names to suggest
domainYesDomain name to base the suggestions on

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Addedv1.42.0

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 and destructiveHint=false. The description adds meaningful behavioral context beyond annotations: suggestions are AI-generated and vary between calls, and the endpoint rate limit is 90 requests per minute. This helps the agent set expectations without contradicting the 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 four short sentences, each earning its place: purpose, nondeterministic behavior, rate limit, and when to use. The most important information is front-loaded.

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 simple read-only suggestion tool with two fully documented parameters and safe annotations, the description covers purpose, usage context, behavioral variability, and rate limiting. Nothing essential is missing for an agent to invoke it correctly.

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 both parameters are already documented in the input schema. The description adds little beyond restating the domain-based input and suggestion purpose, so the 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 suggests available domain names based on an existing domain, which is a specific verb and resource. It also differentiates from the sibling domains_suggestDomainNamesFromADescriptionV1 by emphasizing 'a domain name you already have in mind' and 'close 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 gives explicit when-to-use guidance: 'Use this endpoint when the domain you wanted is taken and you need close alternatives.' However, it does not explicitly name alternative tools or state when not to use this endpoint, so it stops short of a 5.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/hostinger/api-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server