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official_toy_videos

玩具品牌官方 YouTube 頻道最新新品介紹影片(Good Smile、BANDAI SPIRITS、壽屋、TAKARA TOMY、POP MART、Funko、Hasbro Pulse、Mattel、LEGO、PLAYMOBIL 等)。

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": "official_toy_videos"
  }
}

Input Schema

NameRequiredDescriptionDefault
zoneNo
brandNo品牌名稱
limitNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

C2.7/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It implies recency ('最新') but says nothing about ordering, pagination, how 'limit' behaves, or what a result entry contains; for a no-annotation tool this is a substantial gap.

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?

A single front-loaded sentence naming the resource and its scope, with the brand enumeration as useful shorthand and no wasted filler. It is efficient, though the extreme brevity contributes to the specification gaps noted elsewhere.

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

Completeness2/5

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

With three parameters, an enum, no annotations, and no output schema, the description should explain filtering behavior (zone/brand) and return shape, but it does neither. It is not adequate for an agent to call the tool confidently.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is only 33% — the 'brand' parameter is documented, but 'zone' (an enum) and 'limit' are not. The brand list in the description partially compensates by hinting at valid brand values, but the zone enum semantics and limit default/max 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 resource (official brand YouTube channel videos) with the qualifying scope '最新新品介紹' and enumerates the covered brands. However, it never explicitly distinguishes itself from the sibling official_toy_news, so an agent must infer the video-vs-news split.

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

Usage Guidelines2/5

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

There is no when-to-use guidance, no prerequisites, and no reference to any alternative such as official_toy_news or latest_toy_news. The description only characterizes content, leaving tool selection to inference from the name.

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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