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Feegate AI Agent data marketplace catalog & platform metrics

gpu-market.gpu_cheapest_entry

Ask "where is the cheapest place to rent a GPU today" — the 20 cheapest in-stock offers across all platforms and regions, with USD and CNY per hour. Entry tier. The full 168-offer board is $0.05.

[zh] 供应方资产「GPU 算力价格榜(跨平台实采)」按次计费 $0.005 USDC(或等值积分)。 入参:无。 [en] Vendor asset "GPU 算力价格榜(跨平台实采)". Paid per call: $0.005 USDC (or prepaid credits). Args: none. 付款/支付头在 MCP 请求头里带(X-Payment / X-Payment-Tx / Authorization: Bearer fg_…),不要放进参数。

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "gpu-market.gpu_cheapest_entry"
  }
}

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?

With no annotations, the description carries the full burden and does disclose the important operational facts: per-call cost of $0.005 USDC (or credits), the fact that payment credentials go in MCP request headers (X-Payment / X-Payment-Tx / Bearer fg_…) rather than parameters, and that the result set is filtered to in-stock offers. It does not state refresh cadence or how an empty result is signaled, which keeps it short of a 5.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The English lead is well front-loaded and earns its space. However, the payment block is stated three times over — once inline in the English prose and again in near-identical [zh] and [en] restatements — which pads a tool whose useful content is about two sentences.

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 zero-parameter, no-output-schema tool, the description covers what is returned (20 offers, platforms, regions, dual currency), what it costs, and how payment is transmitted — enough for an agent to call it correctly. Only the freshness/update semantics implied by 'today' remain unstated.

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 parameters and the description confirms 'Args: none', which matches the empty input schema exactly. Baseline for a no-parameter tool is 4; nothing further needs explaining.

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 opening sentence gives a concrete verb-and-resource framing ('cheapest place to rent a GPU today') and specifies the exact output scope: the 20 cheapest in-stock offers across all platforms and regions, priced in USD and CNY per hour. It also positions itself as the 'entry tier' against a 168-offer full board, so an agent can infer it is the lightweight sibling of gpu-market.gpu_board without opening either schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage context is clear — pick this when the question is 'where is the cheapest GPU right now' and a 20-row answer suffices. It signals the fuller alternative exists ('The full 168-offer board is $0.05') but does not name gpu-market.gpu_board explicitly, so the agent must map the price hint to a sibling name on its own.

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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