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hostinger-api-mcp

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hosting_listAvailableDatacentersV1

Retrieve available datacenters for your hosting order based on capacity and plan requirements. The first result is the best match for your specific needs.

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
Behavior3/5

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

No annotations are provided, so the description carries full burden. It adds behavioral context by stating that the list is filtered by 'available datacenter capacity and hosting plan of your order' and that the first item is the best match. However, it does not disclose error conditions, rate limits, or output format.

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 two sentences with no unnecessary words. The first sentence defines the purpose, and the second adds an important behavioral detail about the first item being the best match. Every sentence is essential and front-loaded.

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 single-parameter tool with no output schema, the description adequately explains what the tool returns (list of datacenters) and the important nuance of the first item being the best match. It is missing details like the structure of each datacenter, but overall it is sufficiently complete for an agent to understand functionality.

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?

The schema only describes 'order_id' as 'Order ID'. The description adds meaning by explaining that the datacenter list is filtered based on the order's capacity and hosting plan, and that the first result is the best match for that specific order. This surpasses the minimal schema description.

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 verb 'Retrieve' and the resource 'list of datacenters available for setting up hosting plans', with specific context about capacity and plan matching. It distinguishes itself from sibling tools like VPS_getDataCenterListV1 by focusing on hosting plan and order ID.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage when setting up hosting plans and needing datacenter recommendations, but does not explicitly state when not to use it or provide alternatives like VPS_getDataCenterListV1. The guidance is implied but not explicit.

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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