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fieldpulse

Get actionable agricultural intelligence for crops worldwide. Access yield forecasts, weather risk, soil intel, pest alerts, and irrigation recommendations from a single API.

Instructions

FieldPulse: Global precision agriculture intelligence API. Synthesizes satellite NDVI data, Open-Meteo soil/weather data, USDA WASDE, FAO, and EPPO into structured, actionable intelligence for growers, agronomist

Coverage: Global

Endpoints: • yield-forecast ($0.10): Yield and production forecast for any crop and region • weather-risk ($0.10): 7-14 day crop-specific weather risk assessment • soil-intel ($0.10): Live soil moisture, temperature, and evapotranspiration intelligence • pest-disease ($0.10): Pest and disease risk assessment with outbreak alerts • irrigation ($0.10): ET0-based irrigation recommendation and water budget • commodity-outlook ($0.10): Agricultural commodity market outlook and price intelligence • input-cost ($0.10): Fertilizer, seed, and crop protection cost intelligence • planting-window ($0.10): Optimal planting window based on soil temperature and frost dates • season-brief ($0.10): Comprehensive seasonal agricultural intelligence brief

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYesWhich endpoint to call. Options: yield-forecast | weather-risk | soil-intel | pest-disease | irrigation | commodity-outlook | input-cost | planting-window | season-brief
langNoResponse language ISO 639-1
cropNoCrop: wheat, corn, rice, soybeans, cotton, coffee, cocoa, palm-oil, canola, barley, sorghum
regionNoNamed region: 'Black Sea', 'US Midwest', 'Brazil Mato Grosso', 'India Punjab', 'EU', 'Australia', 'Global'
latNoLatitude (alternative to region name)
lonNoLongitude (alternative to region name)
soil_typeNoSoil type: sandy, loam, clay, silt-loam, sandy-loam, clay-loam
hectaresNoFarm size in hectares (optional — enables total cost estimate)
Behavior2/5

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

No annotations exist, so the description must disclose behavioral traits. It mentions cost per endpoint and global coverage, but does not specify read-only nature, authentication requirements, rate limits, or whether results are cached. A mutation implication is absent but not explicitly stated.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is adequately concise but contains redundancy (e.g., list of endpoints mirrors the action enum). The front-loading is decent with the title and a brief sentence, but the structure could be tighter by removing duplication.

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

Completeness3/5

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

The description gives an overview of endpoints and coverage, but for a tool with 8 parameters and multiple actions, it lacks guidance on parameter dependencies (e.g., region vs lat/lon) and output format. No output schema exists, and the description does not describe response structure or error handling.

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 has 100% parameter description coverage, so the baseline is 3. The description does not add new meaning beyond the schema; it repeats endpoint names that are already in the action enum. No additional parameter context is provided.

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?

Description clearly identifies the tool as a precision agriculture intelligence API with specific endpoints. However, it could be more direct about the core function (e.g., 'provides actionable agricultural data') and does not explicitly differentiate from sibling tools beyond being agriculture-focused.

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 lists endpoints with brief use-case descriptions, providing implicit guidance on which action to choose. However, it offers no advice on when to use this tool versus sibling tools, nor does it mention prerequisites or limitations such as data freshness or geographic coverage constraints.

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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