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caiyunapp

Caiyun Weather MCP Server

Official
by caiyunapp

get_hourly_forecast

Retrieve hourly weather forecasts for the next 72 hours by providing latitude and longitude coordinates.

Instructions

Get hourly weather forecast for the next 72 hours.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
lngYesThe longitude of the location to get the weather for
latYesThe latitude of the location to get the weather for
Behavior2/5

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

No annotations are present, and the description only states basic functionality. There is no disclosure of behavioral aspects such as rate limits, data units, or return format.

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?

The description is a single, front-loaded sentence with no wasted words, but a bit more detail (e.g., 'including temperature, humidity, wind') could be added without harming conciseness.

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

Completeness3/5

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

For a simple tool with two well-described parameters and no output schema, the description is minimally complete but lacks information about what the forecast contains (e.g., temperature, precipitation) or the update frequency.

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 no extra meaning beyond the parameter descriptions already present. Baseline score of 3 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 retrieves hourly weather forecasts for a specific 72-hour timeframe, distinguishing it from siblings like get_weekly_forecast or get_realtime_weather.

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?

No guidance is provided on when to use this tool versus alternatives like get_weekly_forecast or get_historical_weather, leaving the agent to infer usage context.

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

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