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Microburbs Australian Property Data

properties_basics_parking_count

Parking-space count from the latest matching listing.

Price: 5¢ per call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
gnaf_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNoThe endpoint's payload, or `null` when Microburbs has no value.
reasonNoMachine-readable slug naming the no-data condition (e.g. `no_avm_for_GANSW704074813`). Stable per endpoint. Omitted on success.
messageNoHuman-readable explanation. Omitted on success.
availableNo`false` on no-data responses. Omitted on success — branch on `data !== null` if you want a single discriminator.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions the price per call, which is useful, and implies a read-only operation by saying 'count', but it does not disclose what happens when no matching listing exists, whether the value comes from the listing or a database, or any limitations. The phrase 'latest matching listing' could mislead an agent into thinking the count reflects current property state rather than a listing's data.

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 two short sentences, with the core purpose front-loaded and the price note clearly separated. It contains no fluff, and the price note is arguably useful for an agent deciding whether the call is cost-effective. The lack of any usage or parameter detail is a completeness issue rather than a conciseness issue, so this dimension scores well.

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

Completeness2/5

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

Though the tool has only one parameter and an output schema, the description is incomplete for effective use. It never explains what gnaf_id is or how to find it, nor what 'latest matching listing' means in terms of data freshness or matching criteria. With sibling tools available for other property attributes, the description does nothing to help an agent decide whether this tool is the correct one for the task.

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%, so the description must compensate by explaining the single parameter gnaf_id. It only says 'from the latest matching listing', which loosely ties the ID to a listing, but it never defines gnaf_id, its format, or how to obtain it. The description adds minimal meaning beyond the bare schema and leaves the agent without enough information to correctly populate the parameter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: it returns a parking-space count from the latest matching listing. The noun 'parking' in both the name and description distinguishes it from sibling tools like properties_basics_bed_count and properties_basics_bath_count. The phrase 'latest matching listing' adds a useful scoping detail, making the purpose unambiguous.

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?

The description gives no guidance on when to use this tool versus the many sibling property_basics_* count tools. It does not mention any prerequisites, such as needing a valid gnaf_id or a property with an active listing, nor does it warn against using it when another tool would be more appropriate. The agent is left to infer context solely from the tool name.

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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