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AnthonyPuggs

AusEcon MCP for ABS | RBA | APRA data

Get Economic Series

get_economic_series
Read-onlyIdempotent

Retrieve curated economic series from ABS, RBA, and APRA by semantic concept. Specify variant, geography, frequency, and date range to get analyst-friendly data.

Instructions

Preferred analyst-facing retrieval tool for curated ABS/RBA economic concepts.

Use list_economic_concepts for discovery. Date bounds accept YYYY, YYYY-QN, YYYY-SN, YYYY-MM, or YYYY-MM-DD and are normalised to the resolved source.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
conceptYesCurated semantic concept name.
variantNoOptional curated concept variant, such as headline, underlying, or target.
geographyNoOptional geography selector for a curated concept, usually aus for Australia.
frequencyNoOptional requested frequency for a curated concept, such as monthly, quarterly, or annual.
startNoOptional analyst-friendly date bound: YYYY, YYYY-QN, YYYY-SN, YYYY-MM, or YYYY-MM-DD. Semantic retrieval normalises this to the resolved source frequency.
endNoOptional analyst-friendly date bound: YYYY, YYYY-QN, YYYY-SN, YYYY-MM, or YYYY-MM-DD. Semantic retrieval normalises this to the resolved source frequency.
last_nNoOptional limit returning only the most recent N observations per series; metadata.truncated is true when older observations were dropped.
include_observation_dimensionsNoWhether to repeat the full dimension dict on every observation. Off by default because the same dimensions already appear on each series descriptor and are encoded in series_id.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
metadataYesSource, provenance, cache, and retrieval metadata for this response.
seriesYesSeries descriptors keyed by series_id.
observationsYesLong-form observations keyed by date and series_id.
Behavior4/5

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

Annotations already declare readOnly, idempotent, and non-destructive behavior. Description adds value by explaining date bound normalization and the metadata.truncated flag when using last_n, without contradicting 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?

Two front-loaded sentences convey purpose, usage, and date format details efficiently 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?

For a tool with 8 parameters, full schema coverage, and an output schema, the description covers key behavioral nuances and usage context. Minor gaps exist (e.g., error cases), but overall sufficient.

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 100%, so baseline is 3. Description adds meaning beyond schema by listing acceptable date formats and explaining the rationale for include_observation_dimensions defaulting to false.

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 'curated ABS/RBA economic concepts' and positions itself as 'Preferred analyst-facing retrieval tool', distinguishing it from siblings like list_economic_concepts for discovery.

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 says 'Use list_economic_concepts for discovery' and defines acceptable date formats, providing clear when-to-use and when-not-to-use 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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