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windsornguyen

open-meteo-mcp-server

air_quality

Retrieve air quality forecast data for any location, including PM2.5, PM10, ozone, nitrogen dioxide, and other pollutants.

Instructions

Get air quality forecast data including PM2.5, PM10, ozone, nitrogen dioxide and other pollutants.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
hourlyNoAir quality variables to retrieve
latitudeYesLatitude in WGS84 coordinate system
timezoneNoTimezone for timestamps
longitudeYesLongitude in WGS84 coordinate system
past_daysNoInclude past days data
forecast_daysNoNumber of forecast days
Behavior2/5

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

With no annotations, the description carries full burden for behavioral disclosure. It only states the tool retrieves forecast data, but omits details about rate limits, data sources, update frequency, or geographical coverage. The read nature is implied but not explicitly declared.

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 sentence of about 15 words, which is concise and front-loaded. However, it is quite terse and could incorporate usage hints without sacrificing brevity.

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

Completeness2/5

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

Given 6 parameters and no output schema, the description is insufficient. It does not explain the forecast time range (covered by forecast_days), output format, or that it provides hourly data. Context is minimal for a tool with moderate complexity.

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 description coverage is 100%, establishing a baseline of 3. The description mentions example pollutants, but these are already covered by the hourly parameter's enum in the schema. No additional semantic information (e.g., coordinate format, default timezone) is added.

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 uses a specific verb ('Get') and resource ('air quality forecast data') while listing key pollutants (PM2.5, PM10, ozone, nitrogen dioxide), which clearly distinguishes this tool from sibling tools like weather_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?

No guidance is provided about when to use this tool versus alternatives (e.g., weather_forecast for general weather). There is no mention of prerequisites or exclusions.

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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