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by com.theaslangroupllc.pulse
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climatepulse

ClimatePulse: Global climate and weather intelligence API. Open-Meteo real-time weather + AI synthesis. Severe weather, air quality, wildfire smoke, growing-season intel — plus event-weather planning: rain/heat odds computed from 10 years of ERA5 archive data, candidate-date ranking, and premium event briefs with decision timelines.

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): Growing-season intelligence and frost date analysis • event ($0.08): Event weather suitability and planning assessment • date-pick ($0.25): Rank candidate event dates by real historical weather odds • event-brief ($0.50): Premium event-weather brief: computed historical odds + live forecast + decision timeline

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cropNoSpecific crop or plant to tailor advice for (e.g. tomatoes, kale)
dateNoTarget event date (YYYY-MM-DD)
daysNoNumber of days ahead to forecast (1–7, default 7)
langNoResponse language code (e.g. es, fr, de); defaults to English
datesNo2-6 comma-separated candidate dates (YYYY-MM-DD)
unitsNoimperial (°F, mph, inches) or metric (°C, km/h, mm); defaults to imperial
actionYesWhich endpoint to call. Options: now | forecast | activity | severe | compare | air | smoke | grow | event | date-pick | event-brief
purposeNoComparison purpose (e.g. vacation, relocation, sports)
activityNoActivity to assess conditions for
locationNoCity, address, or lat,lon for current conditions (e.g. Denver, CO)
locationsNoComma-separated list of 2–4 locations (e.g. Miami,Seattle,Denver)
event_typeNoEvent type — tailors the guidance (e.g. wedding, marathon, outdoor-festival, camping)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • changedInput schema / properties / action / description
      Previous value: -"Which endpoint to call. Options: now | forecast | activity | severe | compare | air | smoke | grow | event"New value: +"Which endpoint to call. Options: now | forecast | activity | severe | compare | air | smoke | grow | event | date-pick | event-brief"
    • changedInput schema / properties / action / enum
      Previous value: -[
-  "now",
-  "forecast",
-  "activity",
-  "severe",
-  "compare",
-  "air",
-  "smoke",
-  "grow",
-  "event"
-]New value: +[
+  "now",
+  "forecast",
+  "activity",
+  "severe",
+  "compare",
+  "air",
+  "smoke",
+  "grow",
+  "event",
+  "date-pick",
+  "event-brief"
+]
    • addedInput schema / properties / dates
      Added value: +{
+  "description": "2-6 comma-separated candidate dates (YYYY-MM-DD)",
+  "type": "string"
+}
  2. First observed

TDQS

A3.9/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses pricing per endpoint, data sources (Open-Meteo, ERA5), and AI synthesis, but does not mention whether calls are read-only, rate limits, authentication, or response structure. It adds some behavioral context beyond a simple read operation.

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 structured with a summary and bulleted endpoints, each with a one-line purpose and cost. It is longer than necessary but organized and front-loaded with the tool's purpose. The pricing details are arguably extra but do not detract from clarity.

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?

With 12 parameters and 11 endpoints, the description covers all endpoint intents and data coverage, but lacks explicit return-value formats or error behavior. Since no output schema exists, the description could be more explicit about response structures, but the endpoint purpose descriptions mitigate this gap.

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 descriptions cover all 12 parameters (100% coverage), so the baseline is 3. The description adds no additional parameter semantics beyond listing endpoint purposes, which map to the action enum; no new meaning is provided beyond the schema.

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 'Global climate and weather intelligence API' and enumerates 11 specific endpoints (now, forecast, severe, air, etc.), distinguishing it from sibling *pulse tools which focus on other domains. The verb+resource pattern is evident throughout.

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

Usage Guidelines4/5

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

Provides clear context for when to use this tool (any climate/weather intelligence need, event planning, air quality, etc.), but does not explicitly state exclusions or compare to sibling alternatives. Since sibling tools are clearly in other domains, the context is sufficient for selection.

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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