Skip to main content
Glama
Sign In

Microburbs Australian Property Data

by au.com.microburbs
OverviewDiscussionsAdmin

LGA · Recorded crime (Victoria)

lga_crime_recorded_offences_vic
Read-onlyIdempotent

Police-recorded offences in Victoria by suburb and by council area, per financial year (July to June) for 2016-17 to 2025-26, by offence type.

Coverage: Victoria: 2,880 suburbs and towns and 79 council areas; financial years 2016-17 to 2025-26. Current to 2026-06-30. Full description, field list and method: /v1/datasets/recorded-crime-vic.

Price: 5¢ 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": {
      "lga_name": "<lga_name>"
    },
    "name": "lga_crime_recorded_offences_vic"
  }
}

Input Schema

NameRequiredDescriptionDefault
toNoLast period to include, same formats as `from`.
fromNoFirst period to include: 2020, 2020-Q3, 2020-07 or 2020-07-01.
fieldsNoComma-separated subset of: total_offences, aggravated_robbery, assault_police_emergency_services_or_other_authorised_officer, begging, betting_and_gaming_offences, breach_bail_conditions, breach_family_violence_order, breach_intervention_order, breach_of_other_orders, cause_a_bushfire, cause_damage_by_fire, criminal_damage, criminal_intent, cruelty_to_animals, dangerous_driving, dangerous_substance_offences, defamation_and_libel, disorderly_conduct, drink_driving, drug_cultivation_and_manufacture, drug_dealing_and_trafficking, drug_driving, drug_use_and_possession, drunk_and_disorderly_in_public, environmental_offences, escape_custody, explosives_offences, fail_to_appear, family_violence_common_assault, family_violence_harassment_and_private_nuisance, family_violence_serious_assault, family_violence_stalking, family_violence_threatening_behaviour, fare_evasion, firearms_offences, forgery_false_information_bribery_and_other_deception, graffiti, hoaxes, improper_movement_on_public_or_private_space, licensing_offences, liquor_and_tobacco_licensing_offences, motor_vehicle_theft, neglect_or_ill_treatment_of_people, non_aggravated_robbery, non_family_violence_common_assault, non_family_violence_harassment_and_private_nuisance, non_family_violence_serious_assault, non_family_violence_stalking, non_family_violence_threatening_behaviour, non_residential_aggravated_burglary, non_residential_non_aggravated_burglary, obtain_benefit_by_deception, offensive_conduct, offensive_language, other_crimes_against_the_person, other_dangerous_or_negligent_acts_endangering_people, other_drug_offences, other_fire_related_offences, other_justice_procedures_offences, other_miscellaneous_offences, other_property_damage_offences, other_public_nuisance_offences, other_regulatory_driving_offences, other_regulatory_offences, other_theft, other_transport_regulation_offences, parking_offences, pervert_the_course_of_justice_or_commit_perjury, prison_regulation_offences, privacy_offences, prohibited_and_controlled_weapons_offences, public_health_and_safety_offences, public_security_offences, receiving_or_handling_stolen_goods, registration_and_roadworthiness_offences, residential_aggravated_burglary, residential_non_aggravated_burglary, resist_or_hinder_officer, riot_and_affray, steal_from_a_motor_vehicle, steal_from_a_retail_store, theft_of_a_bicycle, throw_or_discharge_object_endangering_people, unknown_aggravated_burglary, unknown_non_aggravated_burglary. Omit for all.
lga_nameYesCouncil (LGA) name exactly as /v1/lga/list returns it, e.g. `Lake Macquarie`.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already cover read-only, idempotent, non-destructive and closed-world behavior, so the bar is lower. The description adds material context not in the annotations: the per-call price of 5¢, the data currency date (current to 2026-06-30), and a pointer to the dataset documentation for method and field list.

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?

Front-loaded with the resource and its scope, and the price is called out clearly. There is minor redundancy: the financial-year range 2016-17 to 2025-26 appears twice (opening sentence and Coverage line).

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?

A simple four-parameter read tool with no output schema; the description covers scope, currency and cost but never says what a returned row looks like (LGA × financial year × offence) nor whether results are aggregated or paginated, leaving an agent to infer the response shape.

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?

With 100% schema description coverage, the baseline is 3; the schema already documents from/to/lga_name/fields. The description adds one useful clarification, that periods are financial years running July to June, which reconciles the schema's quarterly-looking 'from' examples with annual crime data, but it adds nothing about lga_name matching or the fields subset behavior.

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 resource precisely (police-recorded offences, Victoria, by financial year and offence type) with a specific dataset reference. It blurs granularity, though: the description says the data is available 'by suburb and by council area' and cites 2,880 suburbs, yet the tool requires lga_name, so an agent cannot tell from the text whether suburb rows are returned.

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

Usage Guidelines3/5

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

Usage is only implied via the title/name (LGA vs. the suburb siblings such as suburbs_crime_recorded_offences_vic). There is no explicit statement of when to choose this over the suburb-level tool or the other state LGA tools, and no exclusions or prerequisites are given.

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
Try in Browser
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources