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search_products

搜尋台灣購物網站商品(3C、美妝保養、家電)目前售價(新台幣),回傳商品、商店、價格與確認時間。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes關鍵字,例如 AirPods Pro
categoryNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / category / enum
      Previous value: -[
      -  "earbuds",
      -  "powerbank",
      -  "smartwatch",
      -  "ssd",
      -  "monitor",
      -  "skincare",
      -  "makeup",
      -  "kitchen",
      -  "home-appliance"
      -]New value: +[
      +  "earbuds",
      +  "powerbank",
      +  "smartwatch",
      +  "ssd",
      +  "monitor",
      +  "skincare",
      +  "makeup",
      +  "kitchen",
      +  "home-appliance",
      +  "daily"
      +]
  2. First observed

TDQS

B3.2/5.0
Behavior3/5

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

No annotations are provided, so the description carries the behavioral burden. It usefully discloses the return fields (product, store, price, confirmation time) in place of a missing output schema, but says nothing about data freshness, caching, rate limits, or whether the confirmation time is a live check.

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 sentence front-loads the action and scope, then the return payload. It is dense but every clause carries information, with no filler or repetition.

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

Completeness3/5

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

With no annotations and no output schema, the description does cover purpose, scope, currency, and return fields, which is adequate for a 2-parameter search tool. However, it omits how results are ranked/limited, pagination, and any freshness caveat around the confirmation time, leaving real gaps.

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 50%: query is documented in the schema and category is an enum without per-value descriptions. The description only loosely maps its parenthetical categories (3C, beauty, appliances) onto the enum values, so it adds marginal meaning rather than compensating for the coverage gap. Baseline 3 fits.

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?

Specific verb+resource (搜尋...商品) with clear scope: Taiwan shopping sites, three product categories, NTD pricing, and the returned fields. An agent can tell it searches rather than retrieves a single price, but the description never explicitly contrasts itself with siblings like get_product_price or list_price_drops.

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 or when-not-to-use guidance at all. The sibling get_product_price is highly overlapping (both surface a price), yet the description gives no rule for choosing between them, leaving the agent to infer from the names alone.

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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