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climatepulse

Get real-time weather, severe alerts, air quality, wildfire smoke tracking, and agricultural grow-day data for any global location.

Instructions

ClimatePulse: Global climate and weather intelligence API. Open-Meteo real-time weather + AI synthesis. Severe weather assessment, air quality monitoring, wildfire smoke tracking, agricultural grow-day modeling, cl

Coverage: Global

Endpoints: • now ($0.05): Current conditions • forecast ($0.08): Multi-day forecast • activity ($0.10): Activity weather assessment • severe ($0.08): Severe weather and preparedness • compare ($0.10): Location climate comparison • air ($0.05): Real-time air quality + health risk assessment • smoke ($0.05): Wildfire smoke tracking and respiratory risk assessment • grow ($0.08): Agricultural grow-day modeling and frost date analysis • event ($0.08): Event weather suitability and planning assessment

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cropNoTarget crop or plant type
dateNodate
daysNoNumber of days (1–7, default 7)
langNolang
unitsNoDefaults to imperial (°F, mph, inches)
actionYesWhich endpoint to call. Options: now | forecast | activity | severe | compare | air | smoke | grow | event
purposeNoComparison purpose (e.g. vacation, relocation, sports)
activityNoactivity
locationNoCity name or location (e.g. Denver, CO)
locationsNoComma-separated list of 2–4 locations (e.g. Miami,Seattle,Denver)
event_typeNoevent_type
Behavior2/5

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

No annotations are provided, so the description carries full weight. It discloses the API source (Open-Meteo), AI synthesis, and global coverage, but fails to mention key behaviors like authentication, rate limits, data freshness, error handling, or any side effects. The description is largely a list of endpoints with pricing, not behavioral traits.

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 reasonably structured with a clear intro, coverage note, and bulleted endpoints. However, it is somewhat verbose with pricing details that could be optional or placed elsewhere. Minor redundancy with the schema enum.

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 the tool's complexity (11 parameters, 9 actions) and lack of output schema or annotations, the description is insufficient. It does not explain how to choose between endpoints, what responses look like, or error conditions. Users are left to infer from parameter names alone.

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%, so the schema already documents all parameters adequately. The description adds some context (pricing, global coverage) but no parameter-specific guidance beyond what the schema provides. Baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it's a global climate and weather intelligence API with specific endpoints, making the purpose evident. However, it does not distinguish from many sibling pulse tools (e.g., harvestpulse, waterpulse) that may have overlapping functionality.

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 climate/weather queries but provides no explicit guidance on when to use this tool versus alternatives, nor does it suggest exclusions or prerequisites. The listed endpoints offer some context but lack situational recommendations.

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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