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AnthonyPuggs

ausecon-mcp-server

by AnthonyPuggs

Get Economic Series

get_economic_series
Read-onlyIdempotent

Retrieve Australian economic series from ABS, RBA, and APRA by specifying a curated concept and optional parameters like variant, frequency, and date range.

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 positive observation count limit.

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 readOnlyHint and idempotentHint, so the safety profile is clear. The description adds useful context about date format acceptance and normalization to source frequency, which goes beyond annotation information.

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 extremely concise at two sentences, with the first sentence immediately stating the tool's purpose and position, and the second sentence providing essential usage details. No filler or redundant information.

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 presence of an output schema and detailed annotations, the description covers the core purpose, usage, and date behavior. It does not discuss error handling or output format, but these are partially addressed by the output schema and context signals.

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?

The input schema has 100% description coverage, providing clear parameter semantics. The description adds extra value by explaining date-bound formats and normalization behavior, which is not fully captured in the schema descriptions.

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 it is a 'preferred analyst-facing retrieval tool for curated ABS/RBA economic concepts'. It distinguishes itself from sibling tools by positioning it as the go-to for curated concepts and referencing 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 Guidelines4/5

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

It provides explicit guidance to use list_economic_concepts for discovery, implying when to use this tool versus alternatives. However, it does not explicitly state when not to use this tool or list all alternative tools for different scenarios.

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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