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Cancel a GPU reservation

gpucloud_cancel_reservation
Idempotent

Cancels a waiting GPU reservation (nothing is charged). If a launch attempt is running, the cancellation stops it before any charge or launch not made yet (status CANCEL_REQUESTED). (permission: servers:reserve) [Requires a free GPU Cloud account and MCP key]

Input Schema

NameRequiredDescriptionDefault
reservationIdYesReservation id (gpucloud_list_reservations).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.1/5.0
Behavior5/5

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

Beyond the annotations (which already declare idempotentHint and destructiveHint=false), the description discloses that nothing is charged, that a running launch attempt is stopped before a charge or launch occurs, the resulting status CANCEL_REQUESTED, the required permission servers:reserve, and the account/MCP key prerequisite. This is unusually rich behavioral context.

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 critical charge-free fact is front-loaded, and the sentences are dense with useful information. The parenthetical status and bracketed permission/account notes make it slightly cluttered but still efficient.

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?

For a one-parameter mutation with no output schema and no nested objects, the description covers the outcome (CANCEL_REQUESTED), the cost implication, and the auth requirement adequately. A note on what happens if the reservation has already launched/been charged would close the remaining 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 coverage is 100% and the single reservationId parameter is already documented in the schema, including a pointer to gpucloud_list_reservations. The description adds no format, syntax, or sourcing detail beyond what the schema provides, so the baseline 3 applies.

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 states a specific verb (cancels) and a precisely scoped resource (a waiting GPU reservation), and clarifies the charge implication immediately. It is clearly distinguishable from gpucloud_cancel_server by the 'waiting reservation' qualifier.

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 the applicable context (a reservation that is waiting or mid-launch) but never explicitly names when to use this versus gpucloud_cancel_server or gpucloud_list_reservations, nor any exclusion or prerequisite trigger. Usage is inferable but not spelled out.

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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