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List GPU reservations

gpucloud_list_reservations
Read-only

GPU reservations of the account: machine, status (ACTIVE, PROCESSING, FULFILLED, PAYMENT_FAILED, EXPIRED, CANCELLED), place in the queue, maximum price, end date, and the server launched (serverId) once fulfilled. (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

A3.8/5.0
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 beyond them by disclosing the required permission scope (servers:read) and the account/MCP-key prerequisite, which are real invocation blockers. It stops short of mentioning pagination or result limits for large reservation lists.

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?

One dense sentence front-loads the resource and its fields, with prerequisites tucked into brackets at the end. Every clause carries information; the enumerated status values are slightly list-heavy but they communicate real domain state.

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?

There is no output schema, so the description's enumeration of returned fields (including serverId once fulfilled) usefully compensates. Combined with the stated permission and account prerequisites, an agent has enough to call it correctly; only pagination/result-size behavior is unaddressed.

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 tool takes zero parameters, so there is nothing for the description to clarify beyond confirming it is unfiltered account-wide listing. Per the zero-parameter baseline, a 4 is appropriate.

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 gives a specific verb+resource ('GPU reservations of the account') and even enumerates the returned fields (machine, status, queue position, max price, end date, serverId), so the agent knows exactly what listing this returns. It does not explicitly name sibling tools like gpucloud_reserve_server or gpucloud_cancel_reservation, but the scope is unambiguous.

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?

Usage is only implied: this is the read/list counterpart to gpucloud_reserve_server and gpucloud_cancel_reservation, and the status enum hints it is used to track reservation lifecycle. The description adds a hard prerequisite (free GPU Cloud account + MCP key) but never states when to prefer this tool over alternatives or that no arguments are accepted.

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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