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Singapore PM2.5 Air Quality

gov.sg.air_quality
Read-onlyIdempotent

Retrieve real-time PM2.5 air quality readings for Singapore's five regions (north, south, east, west, central). Optionally specify a date to access historical data.

Instructions

Real-time PM2.5 readings (μg/m³) for the 5 Singapore regions (north/south/east/west/central). NEA, 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.
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true. The description adds value by specifying it returns real-time readings for 5 regions and supports optional historical queries. It does not contradict 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 (one sentence plus source/license), front-loaded with essential information, and contains no unnecessary content.

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 the tool's simplicity (one optional parameter, output schema present), the description adequately covers what is returned, how to query history, and data licensing. No significant gaps are apparent.

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 the single parameter fully described in the schema. The description does not add additional meaning beyond what the schema's 'description' already provides.

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 it provides 'Real-time PM2.5 readings (μg/m³) for the 5 Singapore regions (north/south/east/west/central)', including the data source and license. It distinguishes itself from sibling tools like gov.sg.weather_forecast or gov.sg.rainfall by focusing on air quality.

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?

No explicit when-to-use or when-not-to-use guidance is given. However, the context of sibling tools and the specific focus on PM2.5 implies its usage scope, but alternatives are not named or compared.

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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