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御府和田玉 在售作品查询

get_product

按官网商品编号查询一件作品的详细资料和购买方式。

Input Schema

NameRequiredDescriptionDefault
idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

No annotations exist, so the description carries the full burden; it discloses that the result includes both 详细资料 (details) and 购买方式 (purchase method), and 查询 implies a non-mutating read. However, it never states behavior when the ID is unknown (empty result vs. error), whether data is live or cached, or any auth requirement, leaving meaningful gaps for a no-annotation 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?

A single front-loaded sentence with no filler, and the retrieval scope is stated before the returned content. It is appropriately sized for the task, though it is short enough that it leaves the usage and error questions unanswered.

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?

For a one-required-parameter lookup with no output schema and no annotations, the description covers purpose, ID meaning, and what comes back, which is close to sufficient. The main missing piece is fallback behavior when the product number is not found.

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% and the parameter is a bare 'id' string, so the description must compensate. It does clarify that the value is the official-website product number rather than an internal ID or SKU, which is genuine added meaning, but it gives no format, example, or validation hint.

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 uses a specific verb (查询, query) and resource (商品/作品 details plus 购买方式, purchase method) and scopes retrieval to the official-site product number, which distinguishes it from search_products and compare_products. It does not explicitly name a sibling to contrast with, which keeps it from 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?

Saying the lookup is 'by official website product ID' implies you must already have an ID, hinting that search_products comes first, but the description never states when to use this versus search_products or get_brand_facts, and gives no exclusions or prerequisites.

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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