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GPU stock

gpucloud_get_stock
Read-only

Live availability of every GPU server for rent in Montréal, Canada (B300, B200, H200, H100, RTX PRO 6000, A100, L40, RTX A6000: what can be launched right now). Works without a key (public catalog prices). (permission: catalog:read)

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already cover readOnly/destructive/openWorld, so the safety bar is low; the description still adds real context by stating that no API key is required and that prices are public catalog prices, which materially affects how an agent may call it. It does not mention caching, refresh cadence, or what a returned entry contains, but with annotations present this is a solid contribution.

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?

Front-loaded with the core claim and only three short sentences. The parenthetical GPU model enumeration is somewhat long for what it conveys, but it does double duty as scope documentation rather than 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?

No output schema exists, and the description does not say what a stock entry looks like (per-model price, quantity available, region), which is the one gap an agent must probe for. Everything else needed to decide whether to call it — region, auth, freshness semantics, permission — is present.

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?

Zero parameters, so the baseline is 4 by rule. The description correctly gives no parameter guidance and instead usefully notes that the region scope is fixed to Montréal — information an agent would otherwise have to guess, since there is no region parameter to inspect.

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 (live availability) and resource (GPU servers for rent) with scope nailed down to Montréal and an enumerated GPU model list. The phrase 'what can be launched right now' clearly separates it from catalog-style siblings like list_products and get_product, which describe offerings rather than live stock.

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 by 'what can be launched right now' — an agent can infer this is the pre-launch availability check. But no sibling is named as an alternative, and there is no explicit statement of when to prefer this over gpucloud_list_products, gpucloud_get_product, or gpucloud_quote_server, all of which sit in the same discovery phase.

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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