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ionos-cloud

IONOS CLOUD MCP Server

Official

list_datacenters

List all virtual data centers in your IONOS Cloud account. Retrieve names and basic properties, with optional server-side filtering by name, location, or other attributes.

Instructions

List all virtual data centers. Returns names and basic properties by default (depth=1).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
depthNonesting depth of returned objects (0-5, default 1); depth 1 includes names and basic properties
filtersNoserver-side filters as property name to value pairs (contains match); e.g. {"name":"prod","location":"de/fra"}. Filterable properties include: name, description, location, version. If the result is empty, retry without filters — a filter typo or mismatch silently returns nothing.
Behavior3/5

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

No annotations provided; the description adds context about default depth and return content. However, it omits details like pagination, rate limits, or safety (though listing is implicitly safe).

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 tight sentences that front-load the core purpose and immediate behavior. Every word is purposeful with no fluff.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema exists, so the description should fully explain return values. It mentions 'names and basic properties' but does not detail what 'basic properties' includes or if pagination is used. Adequate but incomplete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, but the description enriches both parameters: depth is explained with valid range and default effect; filters are detailed with examples, supported properties, and a note on empty results. This goes far beyond schema.

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 lists all virtual data centers and explains the default behavior. It effectively distinguishes this from sibling tools by specifying the resource type.

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 implicitly suggests using this tool to list all datacenters, but does not explicitly contrast with get_datacenter or other list tools. No guidance on when not to use it or alternatives.

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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