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Microburbs Australian Property Data

by au.com.microburbs
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Suburb · Voting

suburbs_demographics_voting
Read-onlyIdempotent

Shown in the suburb report as the 'Voting' card in the Demographics section.

Projected first-preference shares per party, aggregated across the suburb's mesh blocks (booth-derived model — not an actual vote).

Price: 10¢ 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": {
      "suburb_name": "<suburb_name>"
    },
    "name": "suburbs_demographics_voting"
  }
}

Input 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": "Projected voting profile, aggregated across the suburb's microburbs.",
-          "example": {
-            "lean": "Labor lean",
-            "margin_pct": 6.7,
-            "n_microburbs": 85,
-            "parties": [
-              {
-                "label": "Labor",
-                "party": "ALP",
-                "pct": 38.2
-              },
-              {
-                "label": "Liberal",
-                "party": "LIB",
-                "pct": 31.5
-              },
-              {
-                "label": "Greens",
-                "party": "GRN",
-                "pct": 11.3
-              }
-            ],
-            "projection": "Federal election held May 2026 (projected — not an actual vote)",
-            "runner_up": {
-              "label": "Liberal",
-              "party": "LIB",
-              "pct": 31.5
-            },
-            "suburb": "Belmont North",
-            "winner": {
-              "label": "Labor",
-              "party": "ALP",
-              "pct": 38.2
-            }
-          },
-          "properties": {
-            "lean": {
-              "description": "Strong <party> (≥15pp) / <party> lean (≥5pp) / Marginal.",
-              "title": "Lean",
-              "type": "string"
-            },
-            "margin_pct": {
-              "description": "Winner-minus-runner-up margin (pp).",
-              "title": "Margin Pct",
-              "type": "number"
-            },
-            "n_microburbs": {
-              "description": "Microburbs in the aggregate.",
-              "title": "N Microburbs",
-              "type": "integer"
-            },
-            "parties": {
-              "description": "All parties polling ≥0.5%, descending.",
-              "items": {
-                "additionalProperties": true,
-                "description": "One party's projected first-preference share.",
-                "properties": {
-                  "label": {
-                    "description": "Human party name.",
-                    "title": "Label",
-                    "type": "string"
-                  },
-                  "party": {
-                    "description": "Party code (LIB/ALP/GRN/TEAL/…).",
-                    "title": "Party",
-                    "type": "string"
-                  },
-                  "pct": {
-                    "description": "Projected first-preference share (%).",
-                    "title": "Pct",
-                    "type": "number"
-                  }
-                },
-                "required": [
-                  "party",
-                  "label",
-                  "pct"
-                ],
-                "title": "PartyResult",
-                "type": "object"
-              },
-              "title": "Parties",
-              "type": "array"
-            },
-            "projection": {
-              "description": "What the projection represents (and its provenance).",
-              "title": "Projection",
-              "type": "string"
-            },
-            "runner_up": {
-              "additionalProperties": true,
-              "description": "Second-placed party.",
-              "properties": {
-                "label": {
-                  "description": "Human party name.",
-                  "title": "Label",
-                  "type": "string"
-                },
-                "party": {
-                  "description": "Party code (LIB/ALP/GRN/TEAL/…).",
-                  "title": "Party",
-                  "type": "string"
-                },
-                "pct": {
-                  "description": "Projected first-preference share (%).",
-                  "title": "Pct",
-                  "type": "number"
-                }
-              },
-              "required": [
-                "party",
-                "label",
-                "pct"
-              ],
-              "title": "PartyResult",
-              "type": "object"
-            },
-            "suburb": {
-              "description": "Canonical SAL name.",
-              "title": "Suburb",
-              "type": "string"
-            },
-            "winner": {
-              "additionalProperties": true,
-              "description": "Leading party.",
-              "properties": {
-                "label": {
-                  "description": "Human party name.",
-                  "title": "Label",
-                  "type": "string"
-                },
-                "party": {
-                  "description": "Party code (LIB/ALP/GRN/TEAL/…).",
-                  "title": "Party",
-                  "type": "string"
-                },
-                "pct": {
-                  "description": "Projected first-preference share (%).",
-                  "title": "Pct",
-                  "type": "number"
-                }
-              },
-              "required": [
-                "party",
-                "label",
-                "pct"
-              ],
-              "title": "PartyResult",
-              "type": "object"
-            }
-          },
-          "required": [
-            "suburb",
-            "n_microburbs",
-            "projection",
-            "winner",
-            "runner_up",
-            "margin_pct",
-            "lean",
-            "parties"
-          ],
-          "title": "SuburbVoting",
-          "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[SuburbVoting]",
-  "type": "object",
-  "x-fastmcp-top-level-schema": "ApiResponse_SuburbVoting_"
-}New value: +null
  2. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so safety is covered. The description adds genuinely useful context beyond that: the figures are a booth-derived model and 'not an actual vote', which warns the agent not to present them as real results, plus a 10¢ per call cost. It does not explain freshness, coverage limits, or what the response object looks like.

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?

Four short sentences, front-loaded with where the card appears and what it contains, followed by the key caveat and pricing. Nothing is padded, though the report-location sentence is more product copy than call guidance.

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?

With no output schema, the description should carry more of the return shape: whether shares are percentages or fractions, whether it is keyed by party, and whether an election year or model vintage is selectable. The coverage caveat and price are good, but an agent still lacks enough to interpret results confidently.

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?

Schema description coverage is 0% and the single required parameter, suburb_name, has no documented format in either the schema or the description. The parameter is largely self-explanatory by name, but whether an agent must pass 'Richmond, VIC' versus 'richmond' is left unresolved.

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?

States the specific resource (projected first-preference shares per party) and scope (aggregated across the suburb's mesh blocks), and locates it as the 'Voting' card in the Demographics section. It stops short of distinguishing itself from siblings like suburbs_demographics_voting_map or suburbs_demographics_federal_election_results, so an agent must infer which one returns this aggregate vs. a map or official results.

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 and no named alternatives, even though close siblings (the voting map, federal election results) exist. The only contextual cue is where the data surfaces in the product report, which does not tell an agent when to select this tool over a neighbor.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

All Microburbs Australian Property Data toolsInspect
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