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get_historical_weather

Retrieve historical weather observations for any AMeDAS station in Japan within the past two weeks by providing the station code and target datetime.

Instructions

Get historical weather data for a specific date and time.

Data is available for approximately the past 1-2 weeks.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
station_codeYesStation code (e.g., '44132' for Tokyo)
target_datetimeYesTarget datetime in ISO format (e.g., '2025-12-01T12:00:00') or 'YYYY-MM-DD HH:MM' format. Time is in JST.

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 provided, so the description bears full responsibility. It only states data range (past 1-2 weeks) but does not disclose whether the operation is read-only, if it requires special permissions, or any side effects. The description is insufficient for a tool with no annotations.

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 extremely concise with two short sentences. The first sentence immediately states the core purpose, and the second sentence adds a critical limitation. No wasted words.

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?

The tool has an output schema, so return value documentation is not required. However, the description lacks any mention of error conditions, rate limits, or additional behavioral context. Given the absence of annotations, the description should provide more completeness for a weather data retrieval tool.

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%, with both parameters already described in the input schema. The description does not add any new information about parameter meaning or format beyond what the schema provides, so a 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 historical weather data for a specific date and time, with a specific verb and resource. It mentions data availability (past 1-2 weeks), which distinguishes it from siblings like get_current_weather and get_forecast.

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 explicit guidance on when to use this tool versus alternatives or when not to use it. The data range hint is implicit but not actionable as a usage rule.

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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