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Microburbs Australian Property Data

Suburb · 5-year price growth

suburbs_market_price_growth_5y
Read-onlyIdempotent

5-year compound sale-price growth (decimal).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
suburb_nameYes

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": [
      -        {
      -          "additionalProperties": true,
      -          "description": "5-year compound sale-price growth by property type (decimal).",
      -          "example": {
      -            "area_level": "suburb",
      -            "area_name": "Belmont North",
      -            "as_of": "2026-05-24",
      -            "house": 0.684,
      -            "metric": "growth_5_year",
      -            "unit": 0.06
      -          },
      -          "properties": {
      -            "area_level": {
      -              "description": "Always 'suburb' for these endpoints.",
      -              "title": "Area Level",
      -              "type": "string"
      -            },
      -            "area_name": {
      -              "description": "Suburb (SAL) name.",
      -              "title": "Area Name",
      -              "type": "string"
      -            },
      -            "as_of": {
      -              "anyOf": [
      -                {
      -                  "type": "string"
      -                },
      -                {
      -                  "type": "null"
      -                }
      -              ],
      -              "description": "Date of the most recent observation (YYYY-MM-DD).",
      -              "title": "As Of"
      -            },
      -            "house": {
      -              "anyOf": [
      -                {
      -                  "type": "number"
      -                },
      -                {
      -                  "type": "null"
      -                }
      -              ],
      -              "description": "House 5-year compound growth (decimal, e.g. 0.42 = +42%).",
      -              "title": "House"
      -            },
      -            "metric": {
      -              "anyOf": [
      -                {
      -                  "type": "string"
      -                },
      -                {
      -                  "type": "null"
      -                }
      -              ],
      -              "description": "Metric label, e.g. 'growth_5_year'.",
      -              "title": "Metric"
      -            },
      -            "unit": {
      -              "anyOf": [
      -                {
      -                  "type": "number"
      -                },
      -                {
      -                  "type": "null"
      -                }
      -              ],
      -              "description": "Unit 5-year compound growth (decimal).",
      -              "title": "Unit"
      -            }
      -          },
      -          "required": [
      -            "area_name",
      -            "area_level"
      -          ],
      -          "title": "PriceGrowth5y",
      -          "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[PriceGrowth5y]",
      -  "type": "object",
      -  "x-fastmcp-top-level-schema": "ApiResponse_PriceGrowth5y_"
      -}New value: +null
  2. First observed

TDQS

C2.8/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is clear. However, the description is minimal and does not add details like the exact data source, methodology for calculating growth, or whether the value is per suburb or per property. It does not disclose any behavioral nuances beyond what annotations already imply.

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 a single concise sentence that is front-loaded with the core purpose. It is efficient but lacks additional context that could be added without bloat, such as a hint about usage or output format.

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

Completeness3/5

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

Given the tool's simplicity (one parameter, clear metric), the description might be adequate for a straightforward query. However, it does not mention what the returned value represents (e.g., a decimal like 0.25 for 25% growth) or any formatting details. The lack of an output schema increases the need for such clarification, but the context of sibling tools and standard practices may partially compensate.

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?

The schema has one parameter (suburb_name) with 0% description coverage. The description does not explain what format the suburb name should take (e.g., exact name vs. partial match). The parameter is self-descriptive from its name, so this is not as severe as a case with multiple ambiguous parameters, but the lack of any guidance on input format is a gap.

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 that the tool provides a 5-year compound sale-price growth figure for a suburb. The verb (provide/get) is implicit but the resource (suburb) and metric (5-year price growth) are specific. It distinguishes itself from sibling tools like suburbs_market_price_growth (which might be shorter-term) and suburbs_hero_price_growth_12mo by specifying '5-year' and 'compound'.

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 explicit when-to-use guidance is provided. The tool name and description are self-evident for its purpose, but there is no mention of when to prefer this over siblings like suburbs_market_price_growth or suburbs_hero_price_growth_12mo. The agent must infer usage from the context of the query.

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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