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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
}

Tools

Functions exposed to the LLM to take actions

NameDescription
fuel_pricesB

Find the cheapest fuel stations in a Portuguese district (data: DGEG). Use for questions about gasolina/gasóleo/GPL prices near a place.

weather_forecastC

5-day weather forecast for a Portuguese location (data: IPMA). Give a city/locality name.

weather_warningsA

Active meteorological warnings for Portugal (data: IPMA). Returns only non-green (active) warnings.

postal_codeB

Look up a Portuguese postal code (código postal) — locality, municipality, district and streets (data: GeoAPI.pt).

reverse_geocodeA

Reverse geocode a coordinate in Portugal → district, municipality and parish (freguesia) (data: GeoAPI.pt).

municipalityC

Details of a Portuguese municipality (concelho): NIF, area, contacts, postal code (data: GeoAPI.pt).

ine_indicatorA

Fetch an INE (Instituto Nacional de Estatística) statistics indicator by its 7-digit code (varcd). Pass dimension selectors (Dim1 is the period; use 'T' for a dimension's total). Example: varcd '0011609', dims { Dim1: 'S7A2021', Dim2: 'PT', Dim3: 'T', Dim4: 'T' }.

open_data_searchA

Search the Portuguese open-data portal dados.gov.pt for datasets by keyword (data: dados.gov.pt / uData).

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 8 tools

Disambiguation5/5

Each tool addresses a distinct domain (fuel prices, weather, postal codes, geocoding, municipalities, statistics, open data search) with no overlapping purposes, making it easy for an agent to select the correct tool.

Naming Consistency5/5

All tool names follow a consistent snake_case pattern with descriptive noun_phrase or verb_noun structures (e.g., postal_code, reverse_geocode, open_data_search), ensuring predictability.

Tool Count5/5

With 8 tools, the server provides a focused yet comprehensive coverage of Portuguese public data services, avoiding bloat or insufficiency for its intended scope.

Completeness5/5

The tool set covers major data categories for Portugal (energy, weather, geography, government, statistics, open data) with no critical gaps; common queries are well-served.

Maintenance

ActivitySlowing
ResponsivenessNo issues