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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": true
}
logging
{}
prompts
{
  "listChanged": true
}
resources
{
  "subscribe": false,
  "listChanged": true
}

Tools

Functions exposed to the LLM to take actions

NameDescription
get_station_infoA

Get AMeDAS station information by station code.

search_stationsA

Search AMeDAS stations by name (Japanese, Kana, or English).

search_nearby_stationsC

Search AMeDAS stations within a radius from given coordinates.

get_stations_of_typeC

Get all AMeDAS stations of a specific type.

list_stationsA

List all AMeDAS stations (1286 stations) with pagination.

get_current_weatherA

Get current weather observation data from AMeDAS stations.

get_weather_by_locationA

Get current weather from the nearest AMeDAS station to given coordinates.

get_forecastB

Get weather forecast for a prefecture.

list_prefecturesA

List all available prefecture codes for weather forecast.

get_historical_weatherA

Get historical weather data for a specific date and time.

Data is available for approximately the past 1-2 weeks.

get_weather_time_seriesA

Get time series weather data for a station.

Useful for analyzing weather trends over hours or days.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.7/5.0

Scored across 11 tools

Disambiguation5/5

Station lookup tools are split by clear query mode (code, name, coordinates, type, list-all), and weather tools are separated by temporal scope and access pattern (current, location-based, forecast, historical, time series). No two tools appear to do the same thing.

Naming Consistency5/5

All names use snake_case with a predictable verb_noun structure (get_, search_, list_), including compound names like search_nearby_stations and get_weather_by_location. The convention is consistent throughout.

Tool Count5/5

11 tools is well-scoped for a station-and-weather data server. Each tool covers a distinct retrieval mode without excessive granularity.

Completeness4/5

The surface covers station discovery thoroughly and weather retrieval across current, forecast, historical, and time-series modes. Minor gaps exist, such as forecast retrieval by coordinates rather than only prefecture, but core workflows are supported.

Maintenance

ActivityActive
ResponsivenessNo recent community issues