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Get RBA forecasts

rba_get_forecasts
Read-onlyIdempotent

Fetch Reserve Bank of Australia forecasts, filter by series, date ranges, and scope with pagination options.

Instructions

Get the latest or all public RBA forecasts, with optional series and date filters.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
scopeNolatest
offsetNoNumber of filtered and sorted rows to skip.
seriesNoForecast series names to retain, such as gdp_change.
refreshNoDownload the current RBA forecast archive.
max_rowsNoMaximum rows to return. There is no server-side ceiling.
remove_oldNoRemove observations more than 180 days before their forecast date.
forecast_end_dateNoInclusive forecast publication end date.
forecast_start_dateNoInclusive forecast publication start date.
observation_end_dateNoInclusive forecast observation end date.
observation_start_dateNoInclusive forecast observation start date.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYes
offsetYes
has_moreYes
max_rowsYes
truncatedYes
total_rowsYes
returned_rowsYes
Behavior3/5

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

Annotations already provide readOnlyHint, openWorldHint, idempotentHint, destructiveHint. Description adds no behavioral details beyond what annotations convey, so minimal added value.

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?

Single sentence efficiently conveys purpose and key parameters (scope, series, date filters), with no superfluous text.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 10 parameters and no required ones, description is minimal. Output schema exists but description lacks details on pagination, ordering, or return format, which are helpful for complex queries.

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 90%; description does not add parameter-specific semantics. Baseline 3 is appropriate since description only restates filters without enhancing understanding.

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?

Description clearly states verb 'Get', resource 'public RBA forecasts', and mentions optional filters, distinguishing it from siblings like rba_get_series which retrieve specific series data.

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

Usage Guidelines3/5

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

No explicit guidance on when to use or avoid this tool vs alternatives (e.g., rba_get_series). Usage is implied but lacks exclusions or context.

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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