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International Database Tool

international_database_tool
Read-onlyIdempotent

Retrieve global population estimates and projections for 200+ countries from 1950 to 2100, including birth rates, life expectancy, and age distributions for demographic analysis.

Instructions

Retrieve global population statistics from the U.S. Census Bureau International Database (IDB). Access population estimates and projections for 200+ countries worldwide from 1950 to 2100. Data includes total population, birth rates, death rates, life expectancy, fertility rates, age distributions, migration, and more. Perfect for international demographic analysis, global population trends, and country comparisons.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearYesYear for population data (1950-2100). Historical data 1950-present, projections to 2100.
variablesYesArray of IDB variable codes to retrieve. Common: POP (total population), AREA_KM2 (land area), CBR (crude birth rate), CDR (crude death rate), E0 (life expectancy), GR (growth rate), IMR (infant mortality rate), MAB (median age), TFR (total fertility rate), NI (natural increase), NM (net migration), POP_DENS (population density).
countryNoFIPS country code (e.g., "CH" for China, "IN" for India, "US" for United States). If not specified, returns data for all countries.
ageGroupNoAge group for age-specific queries (e.g., "0-4", "5-9", "10-14", etc.). Use with age-specific variables.
sexNoSex filter: 0 = Both sexes, 1 = Male, 2 = Female. Default: 0.
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true, and openWorldHint=true. The description adds context about the source and time range but does not introduce additional behavioral traits beyond what annotations provide.

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

Conciseness5/5

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

The description is concise, well-structured, and front-loaded with the core purpose. It uses only a few sentences to convey the tool's scope and capabilities without redundancy.

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?

Although there is no output schema, the description lists the types of data returned (e.g., total population, birth rates). It adequately covers the tool's scope and parameter usage, but could mention return format or example response.

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?

All 5 parameters have descriptions in the input schema (100% coverage), so the description does not add significant semantics beyond the schema. The description mentions data types but not parameter-specific details.

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 the tool retrieves global population statistics from the U.S. Census Bureau International Database, covering 200+ countries from 1950-2100, and lists specific data types. It distinguishes itself from sibling tools that are primarily US-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 implies usage for international demographic analysis but does not explicitly state when not to use or provide alternatives. The sibling context suggests it's for non-US data, but no direct guidance.

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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