Global Agriculture & Food Security Data: Query agricultural production, food security, malnutrition, land use, and productivity indicators for any. Use when an agent needs global agriculture & food security data, agriculture food security, research food security levels by country, track crop yield trends over time, analyze agricultural productivity across regions, study undernourishment and malnutrition rates, query agriculture data, country or region through AgentPMT-hosted remote tool calls.
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Global Agriculture & Food Security Data: Query agricultural production, food security, malnutrition, land use, and productivity indicators for any. Use when an agent needs global agriculture & food security data, agriculture food security, research food security levels by country, track crop yield trends over time, analyze agricultural productivity across regions, study undernourishment and malnutrition rates, query agriculture data, country or region through AgentPMT-hosted remote tool calls.
Agent instructions for AgentPMT-hosted remote tool calls. Follow this skill body for supported account, wallet, and setup routes. No local command runtime is declared.
If the current date is more than 7 days after the last updated date, reinstall this skill from skills.sh or ClawHub before relying on endpoints, schemas, setup steps, or examples.
What This Tool Does
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.
Product Instructions
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
When To Use
Use this skill for Global Agriculture & Food Security Data on AgentPMT.
Use it when an agent needs this specific tool's behavior, schema, inputs, outputs, and invocation shape.
Search and activation keywords: global agriculture & food security data, agriculture food security, research food security levels by country, track crop yield trends over time, analyze agricultural productivity across regions, study undernourishment and malnutrition rates, query agriculture data, country or region.
Supported action names: query_agriculture_data.
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
Categories And Industries
No categories or industry tags are published for this tool.
Actions And Schema
Complete generated action schema: ./schema.md.
Supported action count: 1.
x402 availability: not enabled for this product.
query_agriculture_data (action slug: query-agriculture-data): 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. Price: 5 credits. Parameters: agriculture_topic, country_or_region, include_regional_comparison, include_rural_context, include_trends, time_period.
Live Schema And Examples
Use the compact schema above for ordinary calls. Before a new production integration, or whenever parameters, enum values, nested objects, outputs, or examples are unclear, fetch live details first.
Exact schema: call agentpmt-tool-search-and-execution with action: "get_schema", and tool_id: "agriculture-food-security".
Detailed examples: call agentpmt-tool-search-and-execution with action: "get_instructions" and tool_id: "agriculture-food-security", or call this product with action: "get_instructions" when the product tool is already selected.
Treat returned live schema and instructions as more specific than this generated summary.
MCP schema lookup through the main AgentPMT MCP server:
AgentPMT account route: first use ../agentpmt-account-mcp-rest-api-setup to connect the main MCP server or REST API for an Agent Group where this tool is enabled.
x402 route: not enabled for this product.
AgentPMT overview: use ../what-is-agentpmt for marketplace, Agent Group, workflow, MCP, REST, and payment concepts.
If those setup skills are not installed beside this product skill, use the downloads below.
MCP call shape after the main AgentPMT MCP server is connected:
{"method":"tools/call","params":{"name":"Global-Agriculture--Food-Security-Data","arguments":{"action":"query_agriculture_data","agriculture_topic":"all","country_or_region":"example country or region","include_regional_comparison":true,"include_rural_context":true,"include_trends":true,"time_period":"latest"}}}
Use the exact tool name returned by tools/list; the name above is the expected readable form.
Authenticated AgentPMT REST call body:
{"name":"agriculture-food-security","parameters":{"action":"query_agriculture_data","agriculture_topic":"all","country_or_region":"example country or region","include_regional_comparison":true,"include_rural_context":true,"include_trends":true,"time_period":"latest"}}
Use the setup skill for the account connection details before making REST calls.
Response Handling
Treat the returned JSON as the source of truth for this tool call.
If the response includes warnings or correction targets, apply them before retrying.
If the response includes a passed or success-style boolean, use it as the workflow gate.
If validation fails or the response shape is unclear, call get_schema or get_instructions before retrying.
If query_agriculture_data fails, preserve the request parameters and retry only after fixing schema, auth, or payment errors.
Security
Do not place account secrets, wallet private keys, mnemonics, signatures, or payment headers in prompts or logs.
Keep tool inputs scoped to the minimum content needed for the task.
Use the setup skills for credential handling; this product skill only defines product-specific behavior.
AgentPMT Reference
What AgentPMT is: ../what-is-agentpmt (ClawHub: what-is-agentpmt, page: https://clawhub.ai/agentpmt/what-is-agentpmt; skills.sh: npx skills add AgentPMT/agent-skills --skill what-is-agentpmt)
