Skip to main content
Glama

willyweather_forecast

Retrieve a weather forecast for an Australian location via WillyWeather by supplying the location ID. Optionally specify days and API key.

Instructions

Get weather forecast from WillyWeather for an Australian location.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
location_idYesWillyWeather location ID
daysNo
api_keyNo
Behavior2/5

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

With no annotations, the description carries full burden for behavioral disclosure. It only states 'Get weather forecast,' implying a read operation, but lacks details about authentication requirements, rate limits, error handling, or what happens with invalid inputs.

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 a single, efficient sentence with no extraneous text. It conveys the essential purpose without waste.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 3 parameters, no output schema, and no annotations, the description is too sparse. It omits details like the expected range for 'days', where to obtain 'api_key', and what the response structure looks like. The phrase 'Australian location' is ambiguous.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 33% (only 'location_id' has a description). The description does not add meaning for 'days' or 'api_key' parameters, failing to compensate for the low coverage.

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 specifies the verb ('Get'), resource ('weather forecast'), source ('WillyWeather'), and geographic scope ('Australian location'). This distinguishes it from generic weather forecast tools and other WillyWeather tools like willyweather_surf and willyweather_tide.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives such as 'weather_forecast' (generic) or other WillyWeather tools. There is no mention of context, exclusions, or prerequisites.

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/malamutemayhem/unclick'

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