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hkopenai

HK Climate and Weather MCP Server

by hkopenai

get_9_day_weather_forecast

Get a 9-day weather forecast for Hong Kong, covering general conditions and daily data, to help plan activities.

Instructions

Get 9-day weather forecast for HK with general situation, daily data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
langNoen

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are present, so the description carries the full burden, but it only describes the output content and location. It does not disclose behaviors like language parameter effects, data source, update frequency, or any limitations. The verb 'Get' weakly implies read-only, but this is not explicit.

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, front-loaded sentence with no filler. Every word contributes: 'Get', '9-day', 'weather forecast', 'HK', and the included data types are all relevant.

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 forecast tool with an output schema, the description adequately covers what is returned (9-day forecast, general situation, daily data) and the fixed location. However, it omits any mention of the language parameter, which is part of the schema and may affect the output language.

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?

The input schema has one optional parameter 'lang' with default 'en', and schema description coverage is 0%. The description does not mention this parameter or explain accepted values (e.g., 'en', 'tc', 'sc'), leaving the agent to infer its meaning from the name alone.

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 a specific verb ('Get'), a distinct resource ('9-day weather forecast for HK'), and the included content ('general situation, daily data'). This distinguishes it from sibling tools like get_current_weather and get_local_weather_forecast, which offer different forecast periods.

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 prefer this tool over alternatives such as get_current_weather or get_local_weather_forecast. It does not mention exclusions, prerequisites, or context beyond the fixed 'HK' scope.

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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