Australian Economic Data (ABS, RBA & APRA)

List Release Events

list_release_events

Read-onlyIdempotent

List source-aware release calendar or release-pulse events.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "list_release_events"
  }
}

Input Schema

Name	Required	Description
`limit`	No	Positive observation count.
`query`	No	Optional query for filtering semantic economic concepts.
`source`	No	Optional source filter. Use abs for Australian Bureau of Statistics, rba for Reserve Bank of Australia, or apra for Australian Prudential Regulation Authority.
`end_date`	No	Optional ISO date bound in YYYY-MM-DD format.
`start_date`	No	Optional ISO date bound in YYYY-MM-DD format.

Output Schema

Name	Required	Description	Default
`result`	Yes	ABS, RBA, and APRA release calendar events.

Schema Changelog

Changes observed during successful MCP inspections.

First observedJun 17, 2026

TDQS

A3.6/5.0

Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, which cover safety and behavior. The description adds minimal behavioral context beyond 'source-aware,' which is more of a feature than a behavioral trait. It does not contradict the annotations, and it does not add significant operational details such as pagination or return behavior.

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 a single concise sentence that front-loads the primary action and target resource. Every word serves a purpose, with no filler or redundant phrasing. It is appropriately sized for a tool with self-documenting schema.

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, rich annotations, and fully described parameters, the description is largely adequate. The main gap is that it does not clarify what 'release-pulse events' are, but the schema and output schema likely cover operational details. Overall, it is sufficiently complete for an agent to understand its core purpose.

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?

The schema provides 100% parameter description coverage, including details on source enum values, date formats, and defaults. The description itself adds no parameter-specific information, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the tool as listing release events, with a specific focus on 'source-aware release calendar or release-pulse events.' This verb+resource structure distinguishes it from sibling tools like list_catalogue and list_economic_concepts. However, the term 'release-pulse events' is somewhat ambiguous and could benefit from elaboration.

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?

The description implies the tool is used for listing release events, but it does not explicitly state when to use it versus alternatives, nor does it mention any exclusions or prerequisites. The usage context is implied rather than clearly articulated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

All Australian Economic Data (ABS, RBA & APRA) tools Inspect

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