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Singapore Rainfall

gov.sg.rainfall
Read-onlyIdempotent

Retrieve 5-minute rainfall measurements from 60 weather stations across Singapore, including station coordinates. Use an optional date to get historical data or omit for the latest snapshot.

Instructions

5-minute rainfall readings (mm) from 60 NEA weather stations across Singapore with station coords. SG Open Data Licence v1.0

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNoOptional ISO 8601 date (YYYY-MM-DD) or datetime to query historical data. If omitted, returns the latest snapshot.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultNoTool response payload. Shape varies per tool — consult the tool description and inputSchema. May be an object, array, string, or number depending on the upstream provider response.
errorNoPresent only when the call failed. Includes error code, message, request_id, and any provider-specific extras.
Behavior3/5

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

Annotations already indicate readOnlyHint=true, destructiveHint=false, idempotentHint=true. The description adds context about the data source (NEA), station count (60), and that coordinates are included, but does not disclose additional behaviors like rate limits or data freshness. No contradiction with 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 a single sentence that is extremely concise and front-loaded with the core purpose. Every phrase adds value: data frequency, unit, source, station count, geographical scope, and license. 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?

Given low complexity, high schema coverage (100%), and presence of output schema, the description adequately covers what data is returned (mm readings, station coordinates) and licensing. It could mention that data is limited to Singapore, but overall complete for the context.

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?

The single parameter 'date' is fully described in the input schema with ISO 8601 format and default behavior. The description does not add any additional semantic information about parameters beyond what the schema provides, resulting in baseline score.

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 5-minute rainfall readings in mm from 60 NEA weather stations across Singapore with station coordinates. It distinctly differentiates from sibling tools like gov.sg.air_quality and gov.sg.weather_forecast by specifying the exact resource and data type.

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

Usage Guidelines3/5

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

The description implies usage for obtaining Singapore rainfall data but does not explicitly state when to use this tool versus alternatives like weather.conditions.current or other weather tools. No when-not-to-use or alternative tool suggestions are provided.

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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