Suburb · Public-school catchment polygons
suburbs_schools_catchmentPublic-school catchment polygons covering the suburb.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| suburb_name | Yes |
suburbs_schools_catchmentPublic-school catchment polygons covering the suburb.
| Name | Required | Description | Default |
|---|---|---|---|
| suburb_name | Yes |
Changes observed during successful MCP inspections.
Output 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": [
- {
- "items": {
- "additionalProperties": true,
- "description": "A SchoolNearbyRow plus the catchment polygon and school point.\nSame shape as SchoolNearbyRow with two extra geo fields.",
- "example": {
- "area_level": "suburb",
- "area_name": "Belmont North",
- "attendance_rate": 0.91,
- "boys": 243,
- "catchment_geometry": {
- "coordinates": [
- [
- [
- 151.67042923383778,
- -32.98757124507687
- ],
- [
- 151.6719715769448,
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- ],
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- 151.6734693055526,
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- ],
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- ],
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- 151.67465982077098,
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- ],
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- ],
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- 151.67473675768315,
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- ],
- [
- 151.67477042663782,
- -32.99055253001001
- ],
- [
- 151.6752381499246,
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- ],
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- ],
- [
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- ],
- [
- 151.67407132572123,
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- ],
- [
- 151.67394980151346,
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- ],
- [
- 151.67282022422222,
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- ],
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- 151.6752319292274,
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- ],
- [
- 151.6750705323278,
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- ],
- [
- 151.67573446688428,
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- ],
- [
- 151.67625048774548,
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- ],
- [
- 151.6759383981911,
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- ],
- [
- 151.6746769955881,
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- ],
- [
- 151.6748911985307,
- -33.00620821013698
- ],
- [
- 151.6747530731491,
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- ],
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- 151.676919389056,
- -33.00703611467451
- ],
- [
- 151.6771988585327,
- -33.007271679446276
- ],
- [
- 151.6764263160743,
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- ],
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- 151.67812520527949,
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- ],
- [
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- ],
- [
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- ],
- [
- 151.67831012273538,
- -33.01129025369889
- ],
- [
- 151.67731432884437,
- -33.011417925153836
- ],
- [
- 151.67431561890302,
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- ],
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- 151.67266874272775,
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- ],
- [
- 151.67186407972366,
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- ],
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- ],
- [
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- ],
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- ],
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- ],
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- [
- 151.66889219209077,
- -33.01872751667515
- ],
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- 151.6676369187551,
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- ],
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- ],
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- ],
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- ],
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- ],
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- ],
- [
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- ],
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- ],
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- ],
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- ],
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- ],
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- ],
- [
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- ],
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- ],
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- -32.99458968190984
- ],
- [
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- -32.993256254731975
- ],
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- -32.990906382973904
- ],
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- ],
- [
- 151.66681000964647,
- -32.99135342631569
- ],
- [
- 151.66828551672774,
- -32.99158521597014
- ],
- [
- 151.67001655087813,
- -32.991857299708236
- ],
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- -32.991754061097744
- ],
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- ],
- [
- 151.67042923383778,
- -32.98757124507687
- ]
- ]
- ],
- "type": "Polygon"
- },
- "catchment_name": "Floraville PS",
- "gender": "coed",
- "girls": 244,
- "id": 42041,
- "naplan_rank": 0.5496460540954865,
- "school_geometry": {
- "coordinates": [
- 151.663835,
- -33.014211
- ],
- "type": "Point"
- },
- "school_level_type": "Primary",
- "school_name": "Floraville Public School",
- "school_sector_type": "Public",
- "socioeconomic_rank": 0.6239973262032086
- },
- "properties": {
- "area_level": {
- "description": "Always 'suburb'.",
- "title": "Area Level",
- "type": "string"
- },
- "area_name": {
- "description": "Suburb (SAL) name.",
- "title": "Area Name",
- "type": "string"
- },
- "attendance_rate": {
- "anyOf": [
- {
- "type": "number"
- },
- {
- "type": "null"
- }
- ],
- "description": "Share of school days actually attended by the average enrolled student, as a fraction between 0 and 1 — 0.89 means 89%. Multiply by 100 to display. Most schools cluster in the high 0.8s to low 0.9s, so small differences matter more than the range suggests.",
- "title": "Attendance Rate"
- },
- "boys": {
- "anyOf": [
- {
- "type": "number"
- },
- {
- "type": "null"
- }
- ],
- "description": "Number of male students enrolled — a headcount, despite the numeric type. Add to `girls` for total enrolment, which is the best available proxy for school size.",
- "title": "Boys"
- },
- "catchment_geometry": {
- "anyOf": [
- {
- "description": "RFC 7946 GeoJSON Polygon — list of linear rings, each ring a list\nof `[lon, lat]` pairs. First ring is the outer boundary; any\nadditional rings are inner holes.",
- "example": {
- "coordinates": [
- [
- [
- 151.67,
- -32.98
- ],
- [
- 151.68,
- -32.98
- ],
- [
- 151.68,
- -32.99
- ],
- [
- 151.67,
- -32.99
- ],
- [
- 151.67,
- -32.98
- ]
- ]
- ],
- "type": "Polygon"
- },
- "properties": {
- "coordinates": {
- "description": "`[ring][point][lon|lat]`. First ring is outer boundary; subsequent rings are holes (none today). Each ring is a list of `[lon, lat]` pairs; rings are explicitly closed (first pair == last pair).",
- "items": {
- "items": {
- "items": {
- "type": "number"
- },
- "type": "array"
- },
- "type": "array"
- },
- "title": "Coordinates",
- "type": "array"
- },
- "type": {
- "const": "Polygon",
- "description": "Always 'Polygon'.",
- "title": "Type",
- "type": "string"
- }
- },
- "required": [
- "type",
- "coordinates"
- ],
- "title": "GeoJsonPolygon",
- "type": "object"
- },
- {
- "type": "null"
- }
- ],
- "description": "GeoJSON polygon of the catchment boundary."
- },
- "catchment_name": {
- "anyOf": [
- {
- "type": "string"
- },
- {
- "type": "null"
- }
- ],
- "description": "Catchment name as listed by myschool.",
- "title": "Catchment Name"
- },
- "gender": {
- "anyOf": [
- {
- "type": "string"
- },
- {
- "type": "null"
- }
- ],
- "description": "Who the school enrols — 'coed', 'girls' (girls only) or 'boys' (boys only).",
- "title": "Gender"
- },
- "girls": {
- "anyOf": [
- {
- "type": "number"
- },
- {
- "type": "null"
- }
- ],
- "description": "Number of female students enrolled — a headcount. See `boys`.",
- "title": "Girls"
- },
- "id": {
- "anyOf": [
- {
- "type": "number"
- },
- {
- "type": "null"
- }
- ],
- "description": "Stable numeric identifier for the school, for joining these rows across calls. Delivered as a number but it is an identifier — do not do arithmetic on it or compare its magnitude.",
- "title": "Id"
- },
- "name": {
- "anyOf": [
- {
- "type": "string"
- },
- {
- "type": "null"
- }
- ],
- "description": "The school's full name, as officially registered.",
- "title": "Name"
- },
- "naplan_rank": {
- "anyOf": [
- {
- "type": "number"
- },
- {
- "type": "null"
- }
- ],
- "description": "The school's academic standing on national NAPLAN testing, as a percentile between 0 and 1 where higher is better — 0.63 puts the school ahead of about 63% of schools, i.e. in roughly the top 40%. A fraction, not a percentage and not a raw test score. Null when the school has no published NAPLAN standing.",
- "title": "Naplan Rank"
- },
- "school_geometry": {
- "anyOf": [
- {
- "description": "RFC 7946 GeoJSON Point — `[longitude, latitude]` coordinates.",
- "example": {
- "coordinates": [
- 151.67,
- -33.01
- ],
- "type": "Point"
- },
- "properties": {
- "coordinates": {
- "description": "`[longitude, latitude]` — 2 numbers, lon first per GeoJSON.",
- "items": {
- "type": "number"
- },
- "title": "Coordinates",
- "type": "array"
- },
- "type": {
- "const": "Point",
- "description": "Always 'Point'.",
- "title": "Type",
- "type": "string"
- }
- },
- "required": [
- "type",
- "coordinates"
- ],
- "title": "GeoJsonPoint",
- "type": "object"
- },
- {
- "type": "null"
- }
- ],
- "description": "GeoJSON point of the school location."
- },
- "school_level_type": {
- "anyOf": [
- {
- "type": "string"
- },
- {
- "type": "null"
- }
- ],
- "description": "Which years the school covers — 'Primary', 'Secondary', or 'Combined' for a school spanning both.",
- "title": "School Level Type"
- },
- "school_sector_type": {
- "anyOf": [
- {
- "type": "string"
- },
- {
- "type": "null"
- }
- ],
- "description": "Who runs the school — 'Public' (government), 'Private', or 'Non-Government' (the wider category including Catholic and independent schools). Fee-paying status is implied, not stated.",
- "title": "School Sector Type"
- },
- "socioeconomic_rank": {
- "anyOf": [
- {
- "type": "number"
- },
- {
- "type": "null"
- }
- ],
- "description": "How advantaged the school's community is, as a percentile between 0 and 1 where higher means more advantaged — 0.17 sits near the bottom of the national distribution. Measures the intake's socio-economic background, not teaching quality, and it is separate from `naplan_rank`: schools rank high on one and low on the other.",
- "title": "Socioeconomic Rank"
- }
- },
- "required": [
- "area_name",
- "area_level"
- ],
- "title": "CatchmentRow",
- "type": "object"
- },
- "type": "array"
- },
- {
- "type": "null"
- }
- ],
- "description": "The endpoint's payload, or `null` when Microburbs has no value.",
- "title": "Data"
- },
- "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[list[CatchmentRow]]",
- "type": "object",
- "x-fastmcp-top-level-schema": "ApiResponse_list_CatchmentRow__"
-}New value: +nullDoes the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so the core safety profile is covered. The description adds that the output is specifically public-school catchment polygons and that they cover the suburb, which is a scoping detail rather than behavior. No mention is made of output format, coordinate system, or possible absence of data, but given the strong annotation coverage this is acceptable.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
One short sentence with no filler. The core resource (public-school catchment polygons) is front-loaded and the scope (suburb) is clarified in a dependent phrase. Every word carries meaning.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, the description only says the tool returns polygons, leaving unclear whether these are GeoJSON, coordinates, or a simple list. It also doesn't state the relationship between suburb_name and the polygons, though this is inferable. For a one-parameter read-only geometry tool this is adequate but not complete; an agent would benefit from knowing the output encoding and one sentence on when to choose this over related school tools.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has one required string suburb_name with 0% description coverage, and the description does not elaborate on what constitutes a valid suburb name or how it should be formatted. The phrase 'covering the suburb' implicitly ties the parameter to the result, but no direct explanation or example is given. For a single self-explanatory parameter this is a minor gap, but the missing compensation fails the rubric's requirement.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description is a noun phrase that clearly identifies the resource — public-school catchment polygons — and scopes them to the suburb. It lacks an explicit verb like 'returns' or 'gets', but the title and description together make the intent unambiguous. It is distinguishable from sibling tools such as suburbs_schools_all or suburbs_shapes_boundary because of the 'catchment polygons' phrase.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus sibling school or shape tools. The description does not mention alternatives, prerequisites, or exclusions. An agent has no context for choosing this over suburbs_schools_all, suburbs_schools_nearby, or suburbs_shapes_boundary.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.