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StatCite — Verified Economic Statistics

Get a raw series by explicit id

get_series
Read-onlyIdempotent

Fetch any supported series by explicit id: 'worldbank/' (needs country), 'imf/' (needs country; current-vintage IMF WEO/Fiscal Monitor via the DataMapper API), or 'dbnomics///' (IMF WEO, OECD, Eurostat and more via DBnomics, dated editions, e.g. 'WEO:2025-04', for vintage-pinned reproducibility). 'fred/' ids are recognized only so the service can return an explanatory disabled response. FRED is permanently disabled here and those ids are never retrievable. Supports year filters and transforms (yoy, pct_change, index). Every response carries a full citation. Prefer get_indicator for common indicators.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countryNoRequired for worldbank/* series.
end_yearNo
series_idYese.g. 'worldbank/NY.GDP.MKTP.KD.ZG', 'imf/NGDP_RPCH', 'dbnomics/IMF/WEO:latest/BRB.NGDP_RPCH.pcent_change'.
transformNo
start_yearNo
strict_sourceNoReproducibility mode for registry-key ids: never substitute the fallback source. No effect on explicit source-prefixed ids (they already pin one source).

TDQS

A5/5.0
Behavior5/5

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

Beyond readOnlyHint, openWorldHint, idempotentHint, the description reveals that FRED is permanently disabled and will return an explanatory disabled response, that dbnomics supports dated editions for reproducibility, and that every response includes a full citation. These are valuable behavioral details not present in annotations.

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 information-dense but well-structured: main action first, followed by id format breakdown, disabled source exception, capabilities, and alternative. Each sentence adds unique information, earning its place.

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

Completeness5/5

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

Despite no output schema, the description covers the tool's scope, exceptions, capabilities, and alternatives. It mentions citation in responses, providing some output context. For a complex tool with multiple id formats, it is quite complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description substantially expands on series_id, detailing all supported id formats with examples and requirements. It also mentions year filters and transforms (yoy, pct_change, index), covering start_year, end_year, and transform parameters. This compensates for the limited schema descriptions on those params.

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 explicitly states it fetches any supported series by explicit id, enumerates the id formats, and distinguishes from get_indicator by advising preference for common indicators. It clearly specifies the resource (series) and the action (fetch).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It explicitly says to prefer get_indicator for common indicators, and notes that FRED ids are permanently disabled, making them unretrievable. It also gives contextual requirements like 'needs country' for worldbank and imf ids, guiding appropriate usage.

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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TDQS

A4.4/5.0
Disambiguation4/5

Tools are organized into clear functional groups (retrieval, search, verification, conversion), and pairs like get_indicator/get_series and verify_stat/verify_claims have explicit usage distinctions. The only minor overlap is between fetch and get_series, but their descriptions clarify when to use each.

Naming Consistency4/5

Most tool names follow a verb_noun snake_case pattern (get_indicator, verify_stat, compare_sources), with a few single-word or noun-style exceptions (fetch, search, country_snapshot). The overall convention is predictable and consistent.

Tool Count5/5

12 tools is within the optimal range for a domain of this complexity, covering retrieval, search, comparison, verification, conversion, and source listing without unnecessary bloat.

Completeness5/5

The surface covers the full workflow: discover indicators (search_indicators), search data (search), fetch data (get_indicator, get_series, fetch, country_snapshot), compare sources (compare_sources), convert values (fx_convert, inflation_adjust), verify claims (verify_stat, verify_claims), and understand sources (list_sources). No critical gaps are apparent.