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ionos-cloud

IONOS CLOUD MCP Server

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get_billing_utilization_daily

Get per-resource billing utilization for a specific date for day-level cost analysis. Filter by contract, datacenter, region, or meter type, and group results as needed.

Instructions

Get per-resource utilization for a specific date (YYYY-MM-DD). Use this for day-level analysis within a month. Same compaction flags as list_billing_utilization. For contracts with many datacenters, scope with regions, datacenter_id, or meter_types — or set top_n=10 for a flat global top-N list — before group_by=datacenter to keep the response under 25 KB. For FOCUS v1.3 compliant output, read resource ionos://billing/focus-v1.3.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contractYescontract number from get_billing_profile
dateYesdate in YYYY-MM-DD format (e.g. 2026-04-15)
include_zeroNoinclude meters with quantity 0 (default false)
group_byNoaggregation level: omitted or '' = per-resource (default), 'meter' = sum per SKU per datacenter, 'datacenter' = sum per type per datacenter
datacenter_idNoscope to a single datacenter (VDC UUID)
meter_typesNofilter to these meter type categories only (client-side); e.g. ['DBAAS']
regionsNofilter to these regions only (client-side); e.g. ['de/fra']
top_nNoreturn only the N largest meters globally, sorted by quantity desc (flat list, datacenters[] omitted). When combined with group_by='datacenter', top_meters[] rows have no meter_id
Behavior2/5

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

With no annotations provided, the description must disclose all behavioral traits. It mentions a response size constraint (25 KB) and refers to 'compaction flags', but does not discuss idempotency, data freshness, rate limits, or side effects. The description is insufficient for full transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise, consisting of three sentences that sequentially cover purpose, usage, and parameter advice. It is front-loaded with the core purpose. Every sentence adds value, though it could be slightly more streamlined.

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?

Given the complexity of 8 parameters and no output schema or annotations, the description provides essential usage context and size constraints but does not explain return format, pagination, or error conditions. It relies on the schema for parameter details, making it minimally adequate.

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 input schema already provides complete descriptions for all 8 parameters (100% coverage). The description adds value by explaining how to combine parameters (e.g., using top_n with group_by) to control output size, which goes beyond the schema's individual definitions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool retrieves per-resource utilization for a specific date, indicating its purpose and day-level granularity. It references sibling list_billing_utilization for compaction flags, which provides context, but does not explicitly differentiate from all sibling billing tools.

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 provides explicit guidance on using parameters like regions, datacenter_id, meter_types, and top_n to manage response size, including a concrete size limit. It also gives a FOCUS compliance reference. However, it lacks explicit when-not-to-use advice or comparisons to alternatives beyond mentioning the sibling.

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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