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List floorplan regions

list_floorplan_regions
Read-onlyIdempotent

List labeled rooms/zones on a floorplan. Each region has a polygon (normalized 0-1 coordinates), an optional location_id linking to the Locations hierarchy, and a "reviewed" flag for AI-detected regions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number (default: all pages fetched automatically)
per_pageNoItems per page (default: 1000, max: 1000). All pages are fetched automatically.
reviewedNoFilter by reviewed state
location_idNoFilter regions linked to a specific location
floorplan_idNoFilter by floorplan ID

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds genuine semantic context beyond the schema: the polygon is in normalized 0-1 coordinates, location_id ties regions to the Locations hierarchy, and the "reviewed" flag distinguishes AI-detected regions from confirmed ones.

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?

Two sentences, purpose front-loaded, and every clause carries information about the returned data. No filler or restatement of the name.

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

Completeness4/5

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

With no output schema, the description usefully sketches the region shape (polygon, location_id, reviewed). Params are fully documented in the schema, including automatic pagination, so the agent has enough to call it correctly; only explicit usage routing is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3. The description adds meaning beyond the schema for two filters, clarifying that location_id links to the Locations hierarchy and that the reviewed flag concerns AI-detected regions, lifting it above baseline.

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 a specific verb and resource ("List labeled rooms/zones on a floorplan") and makes the region concept concrete. It does not explicitly differentiate from siblings like get_floorplan_region or list_floorplans, but the resource is unambiguous enough to route correctly.

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 offers no when-to-use guidance, no prerequisites, and no mention of alternatives such as get_floorplan_region for a single region. Usage context is left entirely to inference from the 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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