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EU Population (1 Jan)

finance.eurostat.population
Read-onlyIdempotent

Retrieve annual population on 1 January for any EU country or aggregate. Specify country code (e.g., DE, FR) and optional date range. Data sourced from Eurostat dataset demo_gind.

Instructions

Annual population on 1 January for one EU country. Eurostat dataset demo_gind, CC BY 4.0

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countryNoEurostat geo code — 2-letter country (DE, FR, IT, ES, UK, PL, ...) or aggregate ("EU27_2020", "EA20"). One country per call. Default: "EU27_2020".
sinceNoEarliest period to return — format depends on series frequency: "2020" (annual), "2024-01" (monthly), "2024Q1" (quarterly).
untilNoLatest period to return — same format as `since`.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultNoTool response payload. Shape varies per tool — consult the tool description and inputSchema. May be an object, array, string, or number depending on the upstream provider response.
errorNoPresent only when the call failed. Includes error code, message, request_id, and any provider-specific extras.
Behavior4/5

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

Annotations already declare readOnlyHint and idempotentHint. The description adds value by specifying 'one EU country per call' and 'annual' data, which are behavioral traits beyond the annotations. No contradictions.

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 a single, clear sentence plus source attribution. Every word earns its place with no 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?

Given the simple task of retrieving population for a country, the description covers the what, when, where, and source. Output schema exists for return values, so completeness is high but slightly lacking in explaining the time-series nature implied by since/until params.

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 coverage is 100% with detailed parameter descriptions. The description does not add new meaning beyond reinforcing 'annual' and 'one country.' Baseline 3 is appropriate.

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 'Annual population on 1 January for one EU country,' specifying the metric, time, and geographic scope. It distinguishes from sibling Eurostat tools like gdp_growth or inflation by focusing on population.

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 conveys the tool's purpose but does not explicitly state when to use it over alternatives or provide exclusions. The context of sibling tools implies usage for population data, but no direct guidance is given.

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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