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Microburbs Australian Property Data

sa4_list

All Australian SA4s. Optional ?state= filter. Returns {sa4, state} per row. Flat cost.

Price: 3¢ per call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stateNoFilter by state / territory. Optional — ~110 SA4s nationally.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNoThe endpoint's payload, or `null` when Microburbs has no value.
reasonNoMachine-readable slug naming the no-data condition (e.g. `no_avm_for_GANSW704074813`). Stable per endpoint. Omitted on success.
messageNoHuman-readable explanation. Omitted on success.
availableNo`false` on no-data responses. Omitted on success — branch on `data !== null` if you want a single discriminator.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations, the description carries the behavioral burden. It discloses the row format, optional filtering, and flat cost/pricing, which is useful operational context. It does not explicitly state read-only/no side effects, but for a list endpoint that is strongly implied.

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?

Three short, purposeful items: purpose and filter, return shape, and cost. No filler, and key information is front-loaded. Every sentence earns its place.

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

Completeness5/5

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

For a single-optional-parameter list call with an output schema, the description is complete: it tells the agent what is returned, how to filter, and what it costs. Nothing needed to invoke it correctly is missing.

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 already fully documents the single `state` parameter, including optionality and scope. The description's `?state=` mention adds no new semantic detail beyond what the schema provides, so the baseline of 3 is appropriate.

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?

Clearly identifies the resource (Australian SA4s) and the operation (return the full list, optionally filtered by state). The row shape `{sa4, state}` confirms it is a list endpoint and distinguishes it from sa4_profile and list tools for other geographies.

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?

States the optional `state` filter and implies two valid uses: fetch all SA4s or a state subset. It gives clear context for when to call this tool, though it does not explicitly name alternatives or exclusions, so it stops short of a 5.

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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