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kewelin

taiwan-data-mcp

by kewelin

taiwan_realprice_area

Query Taiwan real estate transaction statistics by county and district, including median/average unit price, transaction volume, building age, price percentiles, and top streets.

Instructions

查某縣市 / 行政區的不動產成交行情統計:中位與平均單價(萬/坪)、成交筆數、平均屋齡、價格分位、熱門路段排行。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」「新北市」(用「臺」非「台」)
districtNo行政區(可選),例如「信義區」
Behavior3/5

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

No annotations provided. The description mentions the data source and the read-only output statistics, but does not disclose rate limits, authentication requirements, or other behavioral traits that an agent should know.

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 that front-loads the core function and lists outputs efficiently. Could be slightly more concise but overall well-structured.

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?

Given only two parameters (one required) and no output schema, the description covers the return values (median/average price, count, age, percentiles, road rankings) and data source. It is complete for the tool's scope.

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 100%, so the description adds little beyond the examples in the schema. The description mentions county and district but does not provide additional semantic meaning like format restrictions beyond what's in the schema.

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 function: querying real estate transaction statistics for a county/district. It lists specific outputs (median/average price, transaction count, etc.) and distinguishes from sibling tools like taiwan_realprice_estimate and taiwan_realprice_locate.

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?

No explicit guidance on when to use this tool versus alternatives. The description does not mention when-not-to-use or provide comparative context with sibling tools.

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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