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kevynf

AKBridge MCP Server

by kevynf

migration_area_baidu

Read-onlyIdempotent

Retrieve Baidu Qianxi migration area details for a province or city and date, showing top origin or destination regions and population ratios for move-in or move-out analysis.

Instructions

百度地图慧眼-百度迁徙-XXX迁入地详情 百度地图慧眼-百度迁徙-XXX迁出地详情 以上展示 top100 结果,如不够 100 则展示全部 迁入来源地比例:从 xx 地迁入到当前区域的人数与当前区域迁入总人口的比值 迁出目的地比例:从当前区域迁出到 xx 的人口与从当前区域迁出总人口的比值 https://qianxi.baidu.com/?from=shoubai#city=0 :param area: 可以输入 省份 或者 具体城市 但是需要用全称 :type area: str :param indicator: move_in 迁入 move_out 迁出 :type indicator: str :param date: 查询的日期 20200101 以后的时间 :type date: str :return: 迁入地详情/迁出地详情的前 50 个 :rtype: pandas.DataFrame

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
areaNo重庆市
dateNo20230922
indicatorNomove_in

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.2

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint, covering the safety profile. The description adds useful behavioral context: result caps (top100 / else all) and the ratio semantics, but it self-contradicts on volume (says top100 yet returns '前 50 个'), which weakens trust.

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

Conciseness3/5

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

The key purpose and mode definitions are front-loaded, but the entry is cluttered with a source URL and docstring-style re-statements, and the top100/50 inconsistency adds noise rather than clarity.

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?

With no output schema, the description usefully explains the return (first 50 in/out details as a pandas.DataFrame) and documents all three otherwise-undocumented parameters, giving an agent enough to call it correctly despite the minor volume inconsistency.

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?

Schema description coverage is 0%, so the description must carry the burden, and it does: area accepts a full province or city name, indicator takes move_in/move_out, date is a yyyymmdd string after 20200101. It supplies the enum values and format the schema omits.

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?

States a specific resource (Baidu Huiyan migration in/out area details) and the two modes driven by indicator (move_in/move_out). An agent can tell what it retrieves, though it does not explicitly contrast with the sibling migration_scale_baidu.

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?

Usage is implied through the indicator parameter (move_in for in-migration, move_out for out-migration), but there is no explicit when-to-use guidance or reference to the sibling migration_scale_baidu to route between area-level and scale-level queries.

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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