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skypilot_list_accelerators

Read-only

List available cloud accelerators like GPUs and TPUs, filtering by name, region, quantity, or cloud provider to find hardware for cluster provisioning.

Instructions

List available accelerators (GPUs/TPUs) across clouds. Filter by name, region, quantity, or specific clouds. Set gpus_only=False to include non-GPU accelerators like TPUs. Set case_sensitive=False for case-insensitive name filtering.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cloudsNo
gpus_onlyNo
all_regionsNo
name_filterNo
region_filterNo
require_priceNo
case_sensitiveNo
quantity_filterNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, so the safety profile is covered. The description adds the non-obvious default that non-GPU accelerators are excluded unless gpus_only is disabled, but this is largely a restatement of the schema default; undocumented behaviors such as require_price defaulting to true (filtering out unpriced accelerators) are not disclosed.

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?

Four short sentences, front-loaded with the core purpose before the option guidance. The repeated 'Set X=Y to...' phrasing is slightly mechanical but each sentence carries information; minimal waste.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return values need no explanation, and read-only safety is covered by annotations. The gaps are the undocumented all_regions and require_price parameters and the lack of disambiguation from the accelerator-counts/realtime-availability siblings.

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 0% across 8 parameters, so the description must compensate. It names the name, region, quantity and cloud filter dimensions plus the gpus_only and case_sensitive defaults, but leaves all_regions and the consequential require_price untouched, so roughly a quarter of parameters remain unexplained.

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?

States a specific verb and resource ('List available accelerators (GPUs/TPUs) across clouds') with scope made explicit. It does not, however, distinguish itself from the closely named sibling skypilot_list_accelerator_counts or skypilot_realtime_gpu_availability, so an agent must infer the boundary.

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 implied through parameter guidance ('Set gpus_only=False to include...', 'Set case_sensitive=False...'), which tells the agent when to flip options. There is no explicit routing to alternatives (e.g. the accelerator-counts tool or realtime availability tool), so the when-not guidance is absent.

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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