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rentgpu GPU rental price market data

ping

健康检查,免费。返回服务状态、收款地址、网络与价目表。

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden, and it does disclose two useful behavioral facts: the call has no cost and it exposes a payment address, which matters for an agent in a paid marketplace. It says nothing about whether the call has side effects, whether it requires authentication, or about rate limits or latency, which leaves gaps for a tool with zero annotation coverage.

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?

Two short sentences, front-loaded with the operation and its cost profile. The second half enumerates return fields that the output schema already covers, which is mild redundancy rather than waste, since it still helps an agent pick the tool.

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?

The output schema exists, so return values do not need spelling out, and the description still adds the two things the schema cannot: that the call is free and that it surfaces a payment address. What is missing is guidance on when in a workflow to call it, which for a health-check tool would be genuinely useful.

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 no parameter semantics to explain and the baseline of 4 applies. The description correctly does not invent parameter discussion.

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 identifies a specific operation ("健康检查") and enumerates what it returns (service status, payment address, network, price list). It is unmistakably different from every sibling (gpu_history, gpu_price, list_gpu_models, market_movers, platform_reliability), though it never explicitly contrasts itself with any of them.

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?

Saying the call is "免费" (free) implies it is a cheap pre-flight/connectivity check, and the way it is framed suggests calling it before spending money on the paid data tools. However, the description never states when to use this tool rather than a sibling, and it gives no prerequisites or exclusions.

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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