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krovacloud

@krovacloud/mcp

Official

Create Cube

create_cube
Destructive

Provision a new Cube in a Krova Cloud Space with specified name, OS image, vCPU, RAM, disk, and SSH key. Starts hourly billing; the Cube begins in a pending state.

Instructions

Create (provision) a new Cube in a Space. Provisioning is asynchronous — the returned Cube begins in a pending state. Destructive/billable: creating a Cube starts hourly billing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesHuman-readable Cube name.
vcpuYesNumber of virtual CPUs. Default per-space cap is 16 (can be raised for your space).
imageYesOS image slug (see the list_images tool for valid values).
ramGbYesRAM in whole GiB. Default per-space cap is 32 GB (can be raised for your space).
diskGbYesDisk in GiB — minimum 10, in steps of 5. Default per-space cap is 100 GB (can be raised for your space).
regionNoOptional region slug (see the list_regions tool). Omit to let Krova Cloud auto-select a region with capacity.
spaceIdNoKrova Cloud Space id. Optional if KROVA_SPACE_ID is set as the server default.
userDataNoOptional cloud-init script (max 16 KiB).
sshPublicKeyYesSSH public key written to the Cube login user's authorized_keys at boot — ~/.ssh/authorized_keys for the ubuntu or debian user, /root/.ssh/authorized_keys on Cubes created before the default-user change. Use get_cube_ssh to learn which user a given Cube logs in as. Must start with ssh-ed25519, ssh-rsa, ecdsa-sha2-*, ssh-dss, or sk-*@openssh.com.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.3.6

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already indicate destructive and non-readonly behavior, and the description adds value by disclosing that provisioning is asynchronous and that the Cube starts in a pending state. It also highlights the hourly billing consequence, which is important context beyond the structured annotations.

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 compact sentences with no filler. Key facts are front-loaded: the provisioning purpose, then asynchronous behavior, then the billing consequence. Every sentence contributes useful information.

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?

The description covers the critical operational detail that creation is asynchronous and begins with a pending state, which is essential for an agent to know how to proceed. It could mention how to check completion or that get_cube/list_cubes can be used to poll status, but the schema and sibling tools partly fill that gap.

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 the input schema already documents all nine parameters including defaults, caps, and format constraints. The description itself does not add parameter-level detail, which is acceptable given the schema's completeness.

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 uses a specific verb ('Create (provision)') and names the exact resource ('a new Cube in a Space'), so an agent can clearly identify what this tool does. It also distinguishes itself from sibling tools by targeting the Cube resource rather than domains, snapshots, or TCP mappings.

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 gives clear context: use this tool to provision a new Cube, and it notes the important asynchronous and billing behaviors. It does not explicitly list alternatives or when-not-to-use scenarios, but the resource scope is clear enough for an agent to select it.

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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