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Get Series

get_series

Fetch official statistics series values with optional yoy/mom/qoq transformations and date/geography filters. Includes provenance and warnings for reliable interpretation.

Instructions

Fetch values for a series, optionally transformed (yoy/mom/qoq) and filtered by date range or geography. Every response carries a provenance block and a warnings array — never treat the bare numbers as the whole answer; read the warnings.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
date_toNo
date_fromNo
geographyNo
series_idYes
transformNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Install Server

TDQS

A4/5.0
Behavior4/5

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

With no annotations, the description carries the burden of behavioral disclosure. It does so well by revealing that every response includes a provenance block and a warnings array, and by warning the agent not to trust bare numbers without reading warnings. This is meaningful behavioral context beyond a simple fetch.

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 two sentences with no filler. The primary action is front-loaded, and the warning about the provenance/warnings block earns its place as essential usage guidance.

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?

The output schema covers return structure, and the description adds the important caveat about provenance and warnings. The main gap is missing routing guidance versus siblings, but for a fetch tool with five mostly self-explanatory parameters, the description is substantially complete.

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 description coverage is 0%, so the description must compensate. It does by explaining the core parameter groups: series_id (the series), transform (yoy/mom/qoq), date range, and geography. It does not provide exact formats or enumerated transform values, but it adds genuinely useful meaning that the schema lacks.

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 uses a specific verb and resource: 'Fetch values for a series.' It also scopes the operation with optional transforms and filters, making it clearly distinct from siblings like find_series, describe_series, and compare_series.

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

Usage Guidelines2/5

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

No guidance is given about when to choose this tool over alternatives such as describe_series or compute. The description implies 'use this when you need series values,' but it never states exclusions or points to sibling tools for other tasks.

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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