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Get a raw series by explicit id

get_series
Read-onlyIdempotent

Retrieve official economic time series from World Bank, IMF, and DBnomics using explicit IDs, apply year filters or transforms, and get a citation for every response.

Instructions

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).
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, destructiveHint. Description adds FRED permanent disable, year filters, transforms, and citation info, which enriches behavioral context beyond annotations.

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

Conciseness4/5

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

Description is well-structured and front-loaded with main purpose. Each sentence adds value, though slightly longer than necessary. No wasted words.

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?

Given 6 parameters, 50% schema coverage, and no output schema, the description covers id formats, special cases, transforms, and citation. It is thoroughly complete for an agent to use correctly.

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

Parameters4/5

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

Schema coverage is 50%, but description adds examples for series_id, explains country requirement, lists transform enum values, and clarifies strict_source. Adds significant meaning beyond schema.

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 fetches any supported series by explicit id, detailing id formats and distinguishing from get_indicator. It addresses what the tool does with specific verbs and resource types.

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?

Explicitly tells when to use (explicit id), when not (FRED ids are disabled), and suggests preferring get_indicator for common indicators. Provides clear context and exclusions.

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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