Skip to main content
Glama

AgentGeo — Geocoding, Weather & Location

get_weather

Current weather and multi-day forecast for any location. Provide coordinates or a city name.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latNoLatitude
lonNoLongitude
daysNoForecast days (1-7, default 3)
unitsNometric or imperialmetric
locationNoCity name (geocoded automatically)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior2/5

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

With no annotations, the description bears full responsibility. It only states it provides weather and forecast but omits details like data sources, accuracy, rate limits, or what happens on invalid input.

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?

A single concise sentence that effectively communicates the core functionality. It is front-loaded and to the point, with no unnecessary words.

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?

For a simple weather tool with 5 parameters and no output schema, the description covers the essential aspects: what it returns and how to specify location. It is sufficient for an AI agent to use correctly.

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 coverage is 100%, so the description adds little beyond the schema. It only reiterates that location can be specified via coordinates or city name, which is already clear from parameter descriptions.

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 it returns current weather and multi-day forecast for any location, distinguishing it from sibling tools like geocode_address and get_timezone.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It tells the user to provide coordinates or a city name, which is sufficient context. However, it doesn't explicitly mention when not to use this tool or suggest alternatives, but the siblings are distinct enough.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources