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Python
Remote

get_remaining_capacity

Read-onlyIdempotent

Assess remaining capacity headroom for a cluster or host to determine how much more workload fits before limits, including per-dimension CPU, memory, and disk values.

Instructions

[READ] Get remaining capacity headroom for a cluster or host — how much more workload fits before hitting limits. Returns the group-level capacity_remaining_pct (only available at group level) plus one entry per capacity dimension (cpu, mem, diskspace) with remaining_value (absolute, unit per dimension e.g. MHz/KB), from the OnlineCapacityAnalytics demand model. Values are None while capacity analytics warm up. Use get_capacity_overview for the combined view, or get_time_remaining for projected days-until-full.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
targetNoAria target name from config; default when omitted.
resource_idYesThe resource UUID — a ClusterComputeResource or HostSystem (from list_resources).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changedv1.10.0
    • addedInput schema / additionalProperties
      Added value: +false
    • addedInput schema / properties / resource_id / description
      Added value: +"The resource UUID — a ClusterComputeResource or HostSystem (from list_resources)."
    • addedInput schema / properties / target / description
      Added value: +"Aria target name from config; default when omitted."
  2. Addedv1.5.29
  3. Removedv1.5.28
  4. First observedv1.3.2

TDQS

A4.7/5.0
Behavior5/5

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

Annotations already mark the tool read-only, idempotent, and non-destructive. The description adds useful behavioral context beyond that: the output shape, per-dimension units, the OnlineCapacityAnalytics source, and the caveat that values are None while analytics warm up.

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?

Three sentences, each earning its place: purpose, return shape and caveat, and sibling routing. The read marker is front-loaded and there is no filler.

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

Completeness5/5

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

There is no output schema, but the description covers the key returned fields, units, group-level behavior, warm-up nulls, and alternative tools. For a simple 2-parameter read-only analytics query, this is enough for an agent to invoke it correctly.

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 description coverage is 100%, so both parameters are already fully documented. The description adds minor context about cluster/host scope and group-level percentage, but does not need to restate parameter meanings. Baseline 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?

The description opens with a clear read verb and resource scope: 'Get remaining capacity headroom for a cluster or host.' It also names sibling alternatives, so an agent can distinguish this from get_capacity_overview and get_time_remaining without inspecting schemas.

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

Usage Guidelines5/5

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

It states precise selection context by noting capacity_remaining_pct is only available at group level, and explicitly routes to get_capacity_overview for the combined view or get_time_remaining for projected days-until-full. This gives actionable when-to-use and alternative guidance.

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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