Available ActionsEach successful request consumes credits as outlined below.
query_agriculture_data5cr
Details
Explore agriculture and food security data for any country in the world. Look up crop yields, undernourishment rates, agricultural productivity, land use patterns, and rural development indicators. Compare food security outcomes across countries, track trends in agricultural output, and assess progress toward ending hunger — all from a comprehensive global data set.
Use Cases
Research food security levels by country, Track crop yield trends over time, Analyze agricultural productivity across regions, Study undernourishment and malnutrition rates, Compare land use patterns between countries, Monitor rural population and agricultural employment, Assess progress toward SDG 2 zero hunger targets, Research agricultural value added as percentage of GDP, Evaluate food production capacity by region, Support policy research on rural development
Dynamic MCP Setup
Connect once through AgentPMT Dynamic MCP, then use approved tools from the same agent connection.
30 Second Setup
STDIO connector for Claude Code, Codex, Cursor, Zed, and other LLMs that require STDIO or custom connections.
npm install -g @agentpmt/mcp-routeragentpmt-setup
Hosted Streamable HTTPS
MCP endpoint for browser-based apps like ChatGPT, Claude, Grok, or any time you want a streamable connection with no local install.
https://api.agentpmt.com/mcp
Config Example
Use the hosted endpoint directly in clients that support remote MCP. Store your Bearer token in the client config or secret field.
Fetch agricultural and food security indicator data for a country or region, including crop yields, undernourishment rates, land use, productivity metrics, and rural development context.
Fetch agricultural and food security indicator data for a country or region, including crop yields, undernourishment rates, land use, productivity metrics, and rural development context.
country_or_regionrequiredstring
Country or region name in plain language (e.g., 'India', 'Sub-Saharan Africa', 'Brazil', 'World')
agriculture_topicstring
Topic filter: 'production', 'food_security', 'malnutrition', 'land_use', 'productivity', or 'all'
Login to view your API and budget keys. The example above uses placeholder values. Sign in to see personalized code with your bearer token.
Autonomous agents can access this tool through AgentAddress credit balances or direct x402 payments. Use the Autonomous Agent API reference for endpoint shapes after choosing the access pattern below.
Recommended
Credit-Based Access Using AgentAddress
AgentAddress is preferred when an autonomous agent needs persistent file access, stored platform state, or maximum tool use ability across repeated calls.
Use direct x402 for independent one-off tool calls that do not require shared files or stored platform state.
Accepted public payments
Stablecoin
USDC
Chains
Base, Arbitrum, Optimism, Polygon, and Avalanche
Direct x402 payments are not enabled for this product; use AgentAddress credit access instead.
Usage Instructions
Usage guidance provided directly by the developer for this product.
Agriculture & Food Security Data
Access comprehensive agricultural statistics and food security indicators from the World Bank's World Development Indicators database through a natural language interface.
Overview
This tool provides natural language access to World Bank agricultural data covering crop production, food security, land use, productivity metrics, and economic context. It supports 200+ countries and regional aggregations, with built-in trend analysis, regional comparisons, and SDG 2 (Zero Hunger) alignment tracking.
Data is sourced from the World Bank World Development Indicators and FAO databases.
Actions
query_agriculture_data
Query agricultural and food security indicators for any country or region.
Required Parameters
action (string): Must be "query_agriculture_data"
country_or_region (string): Country or region name in plain language
Country names: "India", "Brazil", "Kenya", "United States"
"all" - All available agricultural indicators (20 indicators)
time_period (string, default: "latest"): Time period for data retrieval
"latest" - Most recent available data point
"last_5_years" - Last 5 years of data
"last_10_years" - Last 10 years of data
"YYYY:YYYY" - Specific year range (e.g., "2015:2020"), years must be between 1960 and current year
"YYYY" - Single specific year (e.g., "2020")
include_rural_context (boolean, default: true): Include rural population percentage and agricultural employment data for additional context
include_regional_comparison (boolean, default: true): Include comparison data from World, Sub-Saharan Africa, South Asia, Latin America & Caribbean, East Asia & Pacific, and Middle East & North Africa
include_trends (boolean, default: true): Include trend analysis with absolute and percentage change, direction assessment (improving/worsening/stable), when historical data is available
data: Indicator values with human-readable names, latest values, years, units, country name, and source attribution
productivity_metrics: Derived metrics including cereal productivity assessment (Low/Moderate/Good/High with recommendations), agricultural efficiency ratio (GDP share vs employment share), and land productivity context
rural_context: Rural population percentage and agricultural employment share (when include_rural_context is true)
trends: For each indicator with historical data: oldest/newest values and years, absolute and percentage change, direction (improving/worsening/stable), and data point count
regional_comparison: Comparison values from 6 major regions (when include_regional_comparison is true)
insights: Human-readable analytical insights based on data values, trends, and regional comparisons
sdg_alignment: SDG 2 Zero Hunger alignment information
data_notes: Context notes about methodology and data quality
Key Indicators Reference
Indicator
Unit
Description
cereal_yield
kg per hectare
Cereal productivity (global avg ~4,000)
crop_production_index
index (2014-2016=100)
Overall crop production level
livestock_production_index
index (2014-2016=100)
Livestock production level
agricultural_land
% of land area
Land used for agriculture
arable_land
% of land area
Land suitable for crops
arable_land_per_person
hectares per person
Per capita arable land
forest_area
% of land area
Forest coverage
irrigated_land
% of agricultural land
Irrigated portion of farmland
undernourishment_prevalence
% of population
Population unable to acquire enough food
food_production_index
index (2014-2016=100)
Overall food production level
food_deficit
kcal/person/day
Depth of caloric food deficit
fertilizer_consumption
kg/ha of arable land
Fertilizer use intensity
agricultural_machinery
number of tractors
Mechanization level
agricultural_methane
% of total emissions
Agriculture's methane contribution
agriculture_value_added
% of GDP
Agriculture's share of economy
agriculture_value_added_growth
annual % growth
Agriculture GDP growth rate
employment_agriculture
% of total employment
Agricultural workforce share
rural_population
% of total population
Rural population share
cereal_import_dependency
%
Reliance on cereal imports
Productivity Assessments
Cereal yield classifications used in productivity_metrics:
Moderate productivity: 2,000-4,000 kg/ha - room for improvement
Good productivity: 4,000-6,000 kg/ha - above average
High productivity: Above 6,000 kg/ha - excellent yields
Workflows
Country Agricultural Profile: Query with agriculture_topic: "all" and time_period: "latest" to get a comprehensive snapshot of a country's agricultural sector
Food Security Monitoring: Query agriculture_topic: "food_security" with time_period: "last_10_years" and include_trends: true to track food security progress
Cross-Country Comparison: Run separate queries for multiple countries with include_regional_comparison: true to compare against regional benchmarks
Productivity Gap Analysis: Query agriculture_topic: "productivity" to get yield assessments and efficiency ratios with recommendations
Notes
Data sourced from World Bank World Development Indicators and FAO
Most recent data is typically 1-3 years behind current year due to collection/processing delays
Data availability varies by country and indicator; some countries may have gaps
Production indices use 2014-2016 as the base period (value of 100)
Cereal yield is based on harvested area, not planted area
Undernourishment is based on minimum dietary energy requirements
When a country name is not recognized, a descriptive error is returned with guidance
If no country_or_region is provided, returns an error requesting the parameter
The tool supports partial name matching for country lookups (e.g., "korea" matches "south korea")
Trend direction for undernourishment and food deficit is inverted (decrease = improving)
Regional comparison fetches the top 5 key indicators (not all) for performance reasons
Pricing
$0.05 per request
Frequently Asked Questions
How do I connect this tool to an external agent?
You can install the local MCP server by opening a terminal and running:
After the external agent is connected to an Agent Group that can use this tool, paste this prompt into the agent:
Agent prompt
Use the AgentPMT-Tool-Search-and-Execution tool. First call action 'get_instructions' so you know how to use the tool search interface. Then call action 'get_schema' with tool_id 6980decb71cad8f61bf5b1f1 ("Global Agriculture & Food Security Data"). After reading the schema and any returned instructions, tell me what this tool can do, we are going to be using it
The agent should fetch the tool schema first, collect the required parameters for your request, and then call the tool through AgentPMT.
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Global Agriculture & Food Security Data by Apoth3osis | AgentPMT