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AnthonyPuggs

AusEcon MCP for ABS | RBA | APRA data

Get Latest Observations

get_latest_observations
Read-onlyIdempotent

Retrieve recent observations from ABS, RBA, or APRA datasets. Specify source, dataset, optional series filter, and count of most recent observations per series.

Instructions

Source-aware convenience wrapper for the latest observations.

For a single curated indicator prefer get_economic_series(concept=...), which resolves one series; pass series_ids=[...] to narrow a broad dataset instead of returning every series it contains.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sourceYesSource selector. Use abs for Australian Bureau of Statistics, rba for Reserve Bank of Australia, or apra for Australian Prudential Regulation Authority.
identifierYesNon-empty dataset or table id.
keyNoABS SDMX key, or "all" for all series.all
table_idNoNon-empty dataset or table id.
series_idsNoOptional list of non-empty source-native series IDs to keep after download.
countNoNumber of most recent observations to return per series; metadata.truncated is true when older observations were dropped.

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 declare readOnlyHint=true, destructiveHint=false, idempotentHint=true, and openWorldHint=true. The description adds context about being a convenience wrapper, that it returns the latest observations, and that metadata.truncated indicates dropped older observations. No contradictions; it enhances the behavioral picture.

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 three sentences, front-loaded with the core purpose ('Source-aware convenience wrapper for the latest observations'), and each subsequent sentence adds essential usage guidance without redundancy. No wasted words.

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 (not shown but indicated) and 100% schema coverage, the description is complete enough. It explains the tool's role among 14 sibling tools and provides necessary disambiguation. The only minor gap is not detailing the output structure, but the output schema handles that.

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

Parameters3/5

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

Schema coverage is 100%, so the baseline is 3. The description does not add significant new meaning beyond what is already in the input schema's parameter descriptions. It mentions the count parameter's effect on truncation, but the schema already describes that. Thus, minimal added value.

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 starts with 'Source-aware convenience wrapper for the latest observations', using a specific verb and resource. It immediately distinguishes itself from the sibling tool get_economic_series by explaining when to use that alternative instead. The purpose is unambiguous.

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?

The description explicitly tells the agent to prefer get_economic_series(concept=...) for a single curated indicator and to use series_ids to narrow a broad dataset instead of returning every series. This provides 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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