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ionos-cloud

IONOS CLOUD MCP Server

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list_network_loadbalancers

Retrieve all network load balancers in a specified data center using filters to narrow results.

Instructions

List all network load balancers (NLB) in a data center

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
depthNonesting depth of returned objects (0-5, default 1)
filtersNoserver-side filters as property→value pairs (contains match); e.g. {"name":"prod"} If the result is empty, retry without filters — a filter typo or mismatch silently returns nothing.
datacenter_idYesthe ID of the data center
Behavior2/5

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

With no annotations, the description carries full burden for behavioral disclosure. It only states the basic function without any details on pagination, limits, sorting, error handling, or what happens when no results are found. This is insufficient for safe AI invocation.

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?

Extremely concise single sentence with no unnecessary words. Every element serves a purpose.

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

Completeness2/5

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

Despite having 3 parameters (including optional filters and depth) and no output schema, the description provides no context on how filters work, depth behavior, or response structure. A list tool with nested objects and filtering requires more detail to be useful for an AI.

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% (all parameters have descriptions). The description adds no additional meaning beyond the schema. 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?

Description clearly specifies verb 'List', resource 'network load balancers (NLB)', and scope 'in a data center'. This distinguishes it from sibling tools like get_network_loadbalancer (singular) and list_loadbalancers (which likely covers ALBs or general LBs).

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?

Description implies usage via required datacenter_id parameter, but does not explicitly state when to use this tool versus alternatives like get_network_loadbalancer or list_loadbalancers. No when-not or alternative guidance provided.

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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