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kewelin

taiwan-data-mcp

by kewelin

taiwan_realprice_estimate

Estimate property prices in Taiwan by inputting county and district, with optional building type, age, and size. Returns price per ping range and estimated total price based on comparable transactions from government data.

Instructions

自動估價:輸入縣市+行政區(可加建物型態/屋齡/坪數),回傳可比案例的單價區間(萬/坪)與推估總價。資料來源:housetw.com(內政部實價登錄)。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countyYes縣市,例如「臺北市」(用「臺」非「台」)
districtYes行政區,例如「信義區」
area_pingNo坪數(可選),給了才會推估總價
house_ageNo屋齡(可選,年)
building_typeNo建物型態(可選),例如「住宅大樓」「公寓」「華廈」
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions data source and returns unit price range and total price, but does not elaborate on limitations, estimation methodology, or edge cases (e.g., missing data, geographic scope). It is adequate but lacks depth.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences, elegantly covering purpose, inputs, outputs, and data source. It is front-loaded with the core functionality in the first sentence. No extraneous information.

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?

Given the tool has 5 parameters and no output schema, the description is reasonably complete for a simple estimation tool. However, it lacks details on response structure, error handling, or specific limitations. It meets the minimum viability threshold.

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 description coverage is 100% with detailed parameter descriptions (e.g., county uses '臺' not '台'). The tool description adds little beyond restating the schema, such as '可加建物型態/屋齡/坪數'. Since the schema already covers semantics, the description provides minimal additional value.

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?

The description clearly states the tool's purpose: automatic valuation (自動估價). It specifies inputs (county, district, optional building type/age/area) and outputs (comparable unit price range in 萬/坪 and estimated total price). It also distinguishes from sibling tools like taiwan_realprice_area or taiwan_realprice_search by focusing on estimation/valuation.

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?

The description does not provide explicit guidance on when to use this tool versus its siblings (e.g., taiwan_realprice_search, taiwan_realprice_area). It only describes functionality, leaving the agent to infer usage context without clear boundaries or conditions.

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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