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Microburbs Australian Property Data

Property · Land area

properties_basics_land_area_sqm
Read-onlyIdempotent

Shown in the property report as the 'Land area' figure in the 'Lot & subdivision' card in the Valuation part of the Market section.

Land area in square metres, from the latest listing that states one. Null for units and apartments, which have no land of their own.

Price: 3¢ per call.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "gnaf_id": "<gnaf_id>"
    },
    "name": "properties_basics_land_area_sqm"
  }
}

Input Schema

NameRequiredDescriptionDefault
gnaf_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -{
      -  "properties": {
      -    "available": {
      -      "anyOf": [
      -        {
      -          "type": "boolean"
      -        },
      -        {
      -          "type": "null"
      -        }
      -      ],
      -      "description": "`false` on no-data responses. Omitted on success — branch on `data !== null` if you want a single discriminator.",
      -      "title": "Available"
      -    },
      -    "data": {
      -      "anyOf": [
      -        {
      -          "example": {
      -            "land_area_sqm": 814
      -          },
      -          "properties": {
      -            "land_area_sqm": {
      -              "anyOf": [
      -                {
      -                  "type": "number"
      -                },
      -                {
      -                  "type": "null"
      -                }
      -              ],
      -              "description": "Land size in square metres — the figure the property was advertised with, not a survey or cadastral parcel measurement, so treat it as indicative. Acreage advertised in hectares is converted to square metres for you (1 ha = 10,000 sqm), which means small values are rare by construction and a suspiciously round large number may be a converted one. Null means no listing stated a land size; expect that on most apartments and units.",
      -              "title": "Land Area Sqm"
      -            }
      -          },
      -          "required": [
      -            "land_area_sqm"
      -          ],
      -          "title": "LandAreaSqm",
      -          "type": "object"
      -        },
      -        {
      -          "type": "null"
      -        }
      -      ],
      -      "description": "The endpoint's payload, or `null` when Microburbs has no value."
      -    },
      -    "message": {
      -      "anyOf": [
      -        {
      -          "type": "string"
      -        },
      -        {
      -          "type": "null"
      -        }
      -      ],
      -      "description": "Human-readable explanation. Omitted on success.",
      -      "title": "Message"
      -    },
      -    "reason": {
      -      "anyOf": [
      -        {
      -          "type": "string"
      -        },
      -        {
      -          "type": "null"
      -        }
      -      ],
      -      "description": "Machine-readable slug naming the no-data condition (e.g. `no_avm_for_GANSW704074813`). Stable per endpoint. Omitted on success.",
      -      "title": "Reason"
      -    }
      -  },
      -  "title": "ApiResponse[LandAreaSqm]",
      -  "type": "object",
      -  "x-fastmcp-top-level-schema": "ApiResponse_LandAreaSqm_"
      -}New value: +null
  2. First observed

TDQS

B3.3/5.0
Behavior4/5

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

Annotations already establish the safe-read profile (readOnlyHint, idempotentHint, destructiveHint=false), so the bar is lower, and the description still adds real context: the value is sourced from the latest listing that states one, returns null for units and apartments, and costs 3¢ per call. The cost and null semantics are behaviors an agent could not derive from structured fields.

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 definition is short and front-loads the substantive fact (land area in square metres) before source caveats. The report-location sentence is decorative but does help interpret the value, and the pricing line is a single compact sentence.

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?

For a single-value field getter with no output schema, the definition covers origin, units, null case, and cost, which is most of what a caller needs. The remaining gap is the unexplained gnaf_id input and the absence of any note on the return type.

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

Parameters2/5

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

Schema description coverage is 0% for the single gnaf_id parameter, so the schema offers no field description at all. The description never mentions gnaf_id, its format, or where to obtain it, leaving the only input entirely unexplained.

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 definition names a specific resource (land area in square metres) and pins down where it appears in the report and which part of the data it comes from ('the latest listing that states one'). It stops short of distinguishing itself from near-siblings such as properties_valuation_land_values, so an agent must still infer the boundary from names alone.

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?

There is no explicit when-to-use guidance, no prerequisites, and no mention of any alternative tool. The report context implies the field is a display value, but nothing tells the agent when to call this instead of the land-valuation siblings.

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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