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Microburbs Australian Property Data

properties_surroundings_listing_history_signals

Latest sold/rent dates and likely-owner-status signal per nearby property.

Price: 20¢ per call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
gnaf_idYes

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

C2.7/5.0
Behavior3/5

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

Annotations are absent, so the description carries the behavioral burden. It does disclose a 20¢ per call cost and per-property granularity, which are useful. However, it doesn't describe return shape, error behavior, or the meaning/caveats of the 'likely-owner-status signal'.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely compact: two sentences with no filler. The core output is front-loaded and the price is cleanly separated. It could be improved with a verb and parameter mention, but as conciseness it is strong.

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

Completeness2/5

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

With one required parameter and an output schema present, the tool is simple, but the definition still leaves key details to inference. It doesn't explain gnaf_id or help the agent choose this over many closely related property-history sibling tools. The output summary and price help, but the definition is not complete on its own.

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

Parameters1/5

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

The only parameter, gnaf_id, has zero schema description coverage and is not explained in the description at all. The description doesn't connect the input to the output or clarify what a gnaf_id is, leaving the agent to guess.

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 states the resource: latest sold/rent dates and a likely-owner-status signal for nearby properties. It lacks an explicit verb like 'returns' or 'gets', and it doesn't name sibling tools for differentiation, but the data scope is specific enough to be useful.

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?

No guidance is given on when to use this tool versus alternatives. With overlapping siblings like properties_sale_history, properties_rent_history, properties_history_all, and properties_surroundings_tenure, the description offers no selection rule or exclusion criteria.

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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