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Microburbs Australian Property Data

suburbs_listings_for_sale

Current for-sale listings in the suburb, with address, price, beds/baths and coordinates per listing.

total is the full number on the market (computed before limit), so a count is accurate even when the rows are capped. Raise limit for more listings; set verbose=true for the agent's full description text.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax listings to return (default 30, max 200). `total` always reports the full match count.
verboseNoInclude the agent's full ad-copy in `attributes.description`. Off by default — it averages ~1.5 KB per listing.
suburb_nameYes

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

A3.8/5.0
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 that `total` is computed before `limit` so counts remain accurate when rows are capped, and that `verbose` includes full description text averaging 1.5 KB per listing. This adds meaningful context beyond the schema.

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 concise: a single sentence stating the purpose, followed by a short paragraph explaining `total`, `limit`, and `verbose`. It is front-loaded and every sentence adds value with no redundancy.

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?

The output schema covers return fields, and the description explains the key nuances of `total` and `verbose`. It lacks explicit alternative guidance, but for a straightforward listing tool with a well-defined output schema, the essential information is present. The missing usage alternatives are a gap but not critical.

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 describes `limit` and `verbose` with defaults and behavior, including the `total` note. The description repeats this and adds only a trivial 'Raise limit for more listings'. For `suburb_name`, the description's 'in the suburb' is the only clarification, which is minimal. Overall, the description adds little beyond the schema.

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 the tool returns current for-sale listings in a suburb with specific fields (address, price, beds/baths, coordinates). This distinguishes it from other suburbs_* tools like suburbs_market_stock_on_market (which gives counts) and suburbs_sales_recent (which gives recent sales, not for-sale listings).

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

Usage Guidelines2/5

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

The description gives parameter-level guidance (raise limit, set verbose) but does not explain when to choose this tool over alternatives. It doesn't mention scenarios where this is preferable to properties_context_nearby_for_sale or suburbs_sales_recent. No exclusions or alternative routing are provided.

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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