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hostinger-api-mcp

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by hostinger

domains_suggestDomainNamesFromADomainV1

Get AI-generated domain name suggestions based on a domain you already have, useful when your desired domain is taken.

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
Behavior4/5

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

With no annotations provided, the description carries the behavioral transparency burden. It adds meaningful details: 'Suggestions are generated by an AI model, so they differ between calls' highlights non-determinism, and 'Endpoint has rate limit of 90 requests per minute' warns about throttling. It stops short of describing the response structure or whether availability is actively checked, but it covers important behavioral traits beyond the name and schema.

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, front-loaded with the purpose, then adding behavioral caveats, rate limit, and usage scenario. There is no filler, repetition, or unnecessary detail. Every sentence contributes unique value.

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 simple 2-parameter tool with no annotations and no output schema, the description covers purpose, non-determinism, rate limiting, and a clear use case. It is largely self-sufficient. The only gap is the lack of any description of the response format or parameter value boundaries, which would make it fully complete.

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 input schema already documents both parameters with descriptions, and schema coverage is 100%, so the baseline is 3. The description reinforces that the domain is the basis for suggestions but adds no new semantics for either parameter. It does not explain limits, bounds, or formatting beyond what the schema already provides.

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 'Suggest available domain names based on a domain name you already have in mind,' which clearly identifies the verb, resource, and input. It differentiates from the sibling domains_suggestDomainNamesFromADescriptionV1 by specifying that suggestions come from a domain name rather than a description. The statement about using it when a domain is taken further reinforces the purpose.

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 explicitly states when to use this tool: 'Use this endpoint when the domain you wanted is taken and you need close alternatives.' This provides clear contextual guidance. However, it does not explicitly mention when not to use it or name alternative endpoints, so it lacks full exclusion guidance.

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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