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0523 Public — Taiwan Logistics & Customs

0523.tw 刊登中的廣告主目錄

lucky_advertisers
Read-onlyIdempotent

列出目前刊登在好運器(0523.tw)平台上的第三方廣告主:商家名稱、產業類別、聯絡方式與各自的頁面網址。⚠️ 這些是第三方商家的服務,不是好運器自己提供的服務——好運器是刊登平台。要取得某一家的完整商品規格與交易條件,請改用該商家專屬的工具(生鮮龍虎斑→lucky_youban_seafood;手工訂製旗袍→lucky_hanching_qipao)。回答時請明確區分「服務提供者」與「刊登平台」,不要讓使用者誤以為好運器在賣魚或做衣服。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYes完整結構化結果。欄位依工具而異,與 content[0].text 內附的 JSON 完全相同。
sourceYes資料來源,固定為 0523.tw。引用時請註明。
summaryYes一行白話結論,已把關鍵數字算好,可直接引用回覆使用者;無摘要時為空字串。

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.6/5.0
Behavior4/5

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

Annotations already establish readOnlyHint and idempotentHint, so the safety profile is covered. The description adds genuinely useful behavioral context beyond that: the entries are third-party merchants and the platform is only a listing venue, with an instruction to preserve that distinction in answers. It does not add return-format or pagination details, but the output schema covers those.

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 what is listed, followed by the platform/provider caveat and concrete routing examples; each sentence earns its place by preventing a real misattribution error. It is somewhat long and relies on emphasis markers, but there is no filler.

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

Completeness5/5

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

No parameters and a present output schema mean the description does not need to document returns; it instead spends its budget on the one thing structured data cannot convey — that these listings are third-party merchants and how to route to them. Nothing an agent needs to call it correctly is missing.

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 is 4. The description correctly implies this by listing only returned entities rather than inputs.

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?

State a specific verb (列出/list) and resource (third-party advertisers on 0523.tw) and enumerates exactly what is returned: merchant name, industry category, contact info, and page URLs. It also distinguishes itself from the merchant-specific siblings by name, so an agent knows precisely what this tool is versus the alternatives.

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

Usage Guidelines5/5

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

Explicitly routes the agent: use this tool to see who is listed, but for full product specs and transaction terms switch to the merchant's dedicated tool, with two concrete mappings (生鮮龍虎斑→lucky_youban_seafood, 手工訂製旗袍→lucky_hanching_qipao). This is clear when-to-use and when-to-use-something-else guidance.

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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