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kevynf

AKBridge MCP Server

by kevynf

macro_usa_nahb_house_market_index

Read-onlyIdempotent

Access US NAHB housing market index readings from February 1985 to present as a pandas DataFrame to analyze builder sentiment and housing trends.

Instructions

美国NAHB房产市场指数报告,数据区间从 19850201-至今 https://datacenter.jin10.com/reportType/dc_usa_nahb_house_market_index :return: 美国NAHB房产市场指数报告 :rtype: pandas.DataFrame

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.2

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered. The description adds the historical coverage window (from 1985-02-01) and a source URL, which is useful, but says nothing about update frequency, latency, or data provenance beyond the link.

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?

Purpose and data range are front-loaded in one sentence, with the return type stated compactly. The raw Jin10 URL and the :rtype: line are marginal overhead but not harmful; nothing is padded.

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 output schema, the description only hints at the return via ':return: report' and ':rtype: pandas.DataFrame'. It does not describe the columns/fields, the report frequency (monthly), or units, leaving the agent to discover the shape of the data. Adequate but with a clear gap for a no-param data-retrieval tool.

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 are no parameter semantics to explain. The baseline for a no-parameter tool is 4; the description correctly signals that no input is required by exposing only fixed scope metadata.

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 names a specific indicator (US NAHB housing market index report) and states the covered data range (19850201 to present), so an agent can tell it apart from siblings like macro_usa_house_price_index or macro_usa_new_home_sales. It is clear what data is fetched, though it never says the word 'fetch'/'return' explicitly outside the :return: hint.

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 statement of when to use this tool versus the many other US housing macro siblings (house price index, existing/new/pending home sales, housing starts, building permits). No exclusions, prerequisites, or alternatives are offered.

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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