Skip to main content
Glama
sugukurukabe

japan-real-estate-intel

通勤アクセシビリティ分析

analyze_commute_accessibility
Read-onlyIdempotent

Assess transit commute accessibility to regional station hubs. Computes travel times, routes, and a convenience score from any address.

Instructions

Transit commute accessibility analyzer to regional station hubs, using the Google Maps Distance Matrix API (https://developers.google.com/maps/documentation/distance-matrix). Calculates travel times, routes, and overall score. | 交通通勤アクセシビリティ評価。Google Maps Distance Matrix APIで主要ターミナル駅への所要時間・経路・利便性スコアを算出。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityNo市区町村(例: '名古屋市中村区'、'世田谷区')
addressNo詳細住所または建物名
latitudeNo緯度
longitudeNo経度
prefectureNo都道府県名(和名/英名/ISO 3166-2 コード対応)愛知県

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
latitudeYes
longitudeYes
attributionYes
destinationsYes各主要駅への通勤アクセス詳細
closestStationYes最寄り駅名
hasLiveTrafficYesGoogle Maps APIのライブ路線・交通データを使用したか
markdownReportYesMarkdown形式の詳細通勤レポート
accessibilityScoreYes総合利便性スコア (0-100)
transitScoreCategoryYes利便性カテゴリ
closestStationWalkMinYes最寄り駅までの徒歩分数
closestStationDistanceKmYes最寄り駅までの距離 (km)
Behavior4/5

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

Annotations declare read-only, idempotent, and non-destructive behavior. The description adds context about using an external API (Google Maps) and computing an overall score, which is beyond the annotations. No contradictions.

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 concise sentences in English and Japanese, front-loaded with purpose. Every sentence adds value without redundancy.

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?

The description explains the core functionality, mentions the external API, and indicates an overall score. With an output schema present, return values need not be detailed. Minor gap: no mention of limitations or refresh behavior, but openWorldHint covers variability.

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%, so the schema already documents all parameters. The description adds no additional parameter meaning. Baseline score is appropriate.

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: analyzing transit commute accessibility to regional station hubs using the Google Maps Distance Matrix API. It specifies outputs (travel times, routes, overall score) and differentiates from sibling tools focused on other property assessments.

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?

The description implies usage for commute accessibility analysis but provides no guidance on when not to use this tool or alternatives. It mentions the API reference but lacks explicit when-to-use or when-not-to-use context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/sugukurukabe/japan-real-estate-intel-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server