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hostinger

hostinger-api-mcp

Official
by hostinger

List available datacenters

hosting_listAvailableDatacentersV1
Read-only

Fetch available datacenters for a hosting order, ranked by suitability for your specific plan and capacity.

Instructions

Retrieve a list of datacenters available for setting up hosting plans based on available datacenter capacity and hosting plan of your order. The first item in the list is the best match for your specific order requirements.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
order_idYesOrder ID

Schema Changelog

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

  1. Addedv1.5.0
  2. Removedv1.2.1
  3. Addedv0.2.2
  4. Removedv0.2.1
  5. Addedv0.1.40

TDQS

A4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds useful behavioral context about capacity-based filtering and the first item being the best match, but it does not disclose pagination behavior or response structure. This is adequate but not richly transparent beyond 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 compact: two sentences, no filler, and the main purpose is front-loaded. The second sentence adds an important ordering guarantee without extra verbosity. Every phrase contributes to call-time decision-making.

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 one-parameter, read-only list tool without an output schema, the description covers purpose, scoping, and result ordering well. It could slightly improve by mentioning expected result fields or pagination, but the current information is sufficient for correct invocation in most cases.

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 coverage is 100% and the single required parameter order_id is already described as 'Order ID'. The tool description does not add deeper semantics about the parameter, but there is little ambiguity to resolve given the simple schema and clear overall purpose.

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 uses a specific verb-resource pair ('Retrieve a list of datacenters') and immediately scopes it to hosting-plan setup for a specific order, distinguishing it from generic datacenter-listing tools. The clarity is further strengthened by mentioning capacity and order-based planning criteria.

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 clearly implies when to use the tool: when selecting or evaluating datacenters for a hosting plan tied to an order. It does not explicitly name alternative tools or exclusion cases, but the context is strong enough that an agent can infer the intended use.

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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