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Place an order (charges the card)

gpucloud_create_order

Places the quoted order and pays it with the saved card within the key caps (D7: monthly / annual servers included). Servers are then provisioned with the first SSH key of the account. Requires the confirmationToken of gpucloud_quote_order. [SPENDS MONEY] (permission: orders:create) [Requires a free GPU Cloud account and MCP key]

Input Schema

NameRequiredDescriptionDefault
itemsYes
countryNoBilling country (default: the one of the last order, else CA).
provinceNoProvince code for taxes, e.g. QC, ON (default: the one of the last order, else QC).
confirmationTokenYesToken returned by the previous call (valid 10 minutes, single use).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior5/5

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

Far exceeds annotations: discloses that the saved card is charged, the [SPENDS MONEY] warning, which billing modes are covered by the key caps (D7 monthly/annual), that provisioning uses the first account SSH key, the required orders:create permission, the account/MCP key prerequisite, and the single-use 10-minute token. Annotations only cover the generic safety profile.

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 core action and its cost are front-loaded, and bracketed flags ([SPENDS MONEY], permission, prerequisites) make scanning fast. Slightly dense with stacked clauses in the first sentence, but no sentence is filler.

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?

Covers prerequisites, cost, provisioning side effect, and token constraints for a non-idempotent money-spending tool with no output schema. It does not say what is returned (e.g., order/server identifiers) or whether provisioning is synchronous, which is a minor gap given no output schema exists.

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?

Schema coverage is 75% and already documents country, province, quantity, and the token. The description adds the origin and lifecycle of confirmationToken and the billing-cap constraint that governs which billing enum values are usable, plus the implicit dependency on an existing SSH key — meaningful additions beyond the 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?

States a specific verb+resource up front ('Places the quoted order and pays it with the saved card') and immediately distinguishes itself from the quoting sibling by requiring gpucloud_quote_order's confirmationToken. Side effects (card charge, server provisioning with first SSH key) make the purpose unambiguous.

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?

Explicit prerequisite chain: quote first via gpucloud_quote_order, then place the order with its token; the [SPENDS MONEY] flag and permission scope give clear context for when this is appropriate. However, it never contrasts with gpucloud_reserve_server or gpucloud_create_server, which an agent could plausibly confuse as the purchase path.

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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