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Microburbs Australian Property Data

properties_basics_bed_count

Bedroom 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

B3/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It does provide a useful scoping detail—'latest matching listing' rather than current or historical—and notes the 5¢ cost, but it leaves ambiguous what 'matching' means and does not say how unmatched properties are handled.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two short sentences and front-loads the core purpose before the pricing note. Every sentence earns its place, and there is no filler or redundant restatement.

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?

For a single-parameter tool with no annotations and no parameter documentation, the description is too thin: it omits what gnaf_id refers to, gives no selection guidance among the basics siblings, and never clarifies 'matching.' The output schema reduces the need to describe return values but cannot compensate for the core input and usage gaps.

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% and the description does not define gnaf_id or clarify that the listing is matched by that identifier. The phrase 'matching listing' weakly implies an identifier, but the only real parameter is left to be inferred from its name.

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 names a specific outcome: returning the bedroom count for the latest matching listing, and the tool name narrows it to one of the basics family. It is clear but does not explicitly contrast with properties_basics_all or properties_basics_bath_count, so it stops short of full sibling differentiation.

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 guidance says when to call this instead of properties_basics_all, properties_basics_bath_count, properties_basics_dwelling_type, or other property basics endpoints. The only signal is the name, leaving an agent to infer which sibling is appropriate for a given property-attributes request.

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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