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List monthly H100 rentals

gpucloud_list_monthly_rentals
Read-only

Guaranteed H100 rented by the month on the account (1, 2, 4 or 8 H100 GPUs, or H100 NVLink x 8, yours alone for 1, 3, 6 or 12 months): machine, rental term, monthly and total amounts (CAD), status (PENDING_PAYMENT, PAID_AWAITING_CAPACITY, ACTIVE, COMPLETED, REFUNDED, CANCELLED), delivery deadline (put in service within 7 business days of the payment, otherwise refunded in full), service start and end, months paid, next charge, and the server (serverId) once delivered. Read only: the user rents it in the GPU Cloud console. (permission: servers:read) [Requires a free GPU Cloud account and MCP key]

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description goes further by disclosing the permission required (servers:read), the account/MCP-key prerequisite, and a concrete business rule (put in service within 7 business days or refunded in full), which is real context beyond the structured fields.

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 purpose is front-loaded, and every element earns its place given there is no output schema. It is a single dense sentence with a long parenthetical field list, which is slightly overloaded but justified by the absence of structured return documentation.

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?

With no output schema, the description fully compensates by enumerating returned fields, the complete status enum, timing rules, permission, and prerequisites. An agent has everything needed to call this zero-argument tool and interpret its results.

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?

There are zero input parameters, so the baseline is 4. Schema coverage is 100% and the schema accepts no properties; the description instead documents the return shape (statuses, amounts, dates), which is relevant but not a substitute for parameter documentation that doesn't exist.

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 states a specific verb (list) and a tightly scoped resource ('H100 rented by the month on the account'), which naturally distinguishes it from broader siblings like list_reservations or list_contracts. It never names an alternative tool, but the H100/monthly scope is specific enough that an agent can identify the right tool.

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?

It implies usage context by noting 'Read only: the user rents it in the GPU Cloud console,' which tells the agent this tool cannot create rentals. However, it gives no explicit when-to-use/when-not guidance or contrast with siblings such as list_reservations or list_contracts, leaving the routing to inference.

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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