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rentgpu GPU rental price market data

verify_price_alert

用用户邮箱收到的 6 位验证码激活降价提醒订阅(免费)。示例: verify_price_alert(email='user@example.com', gpu='RTX 4090', code='123456')

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "email": "<email>",
      "gpu": "<gpu>",
      "code": "<code>"
    },
    "name": "verify_price_alert"
  }
}

Input Schema

NameRequiredDescriptionDefault
gpuYes
codeYes
emailYes

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the burden and does disclose that activation is free and requires a 6-digit email code. It is silent on failure behavior (wrong/expired code), idempotency of re-verification, and whether the code is single-use, which matters for a mutation tool.

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?

One front-loaded sentence stating the action and a compact invocation example that covers all three parameters. Given the 0% schema coverage the example earns its place, though it repeats parameter names already visible in the schema.

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 tool is simple (three required string params) and an output schema exists, so return values need not be described. The description covers the action, the prerequisite (code from email), and the parameter meanings, leaving only error/expiry behavior unaddressed.

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 0%, so the description must compensate. It does explain email (where the code was sent) and code (6-digit verification code), and the example implies gpu is the GPU model string ('RTX 4090'), but format constraints such as code length validation or exact GPU identifier format are only hinted at via the example.

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 names a specific verb+resource pair ('activate' the price-drop alert subscription) and states the mechanism (a 6-digit code delivered to the user's email), which is enough to distinguish it from sibling subscribe_price_alert by implication. It does not explicitly contrast with subscribe_price_alert, so it falls short of a 5.

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?

Mentioning that the code arrives by email implies this is the second step after subscribing, so the usage context is inferable but never spelled out. There is no explicit statement of when to use this versus subscribe_price_alert, nor what to do if no code was received.

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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