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Physical form of buildings

building_physical
Read-onlyIdempotent
Physical form of the buildings a set of UPRNs sit in: height, volume,
footprint area, floor count, construction and roof material, basement,
green roof, solar panels, and the residential/commercial unit mix.

`year_built` and `num_floors` are thinly populated and come back null
rather than estimated — treat null as unknown, not as absent.

`footprint_geojson` is the recorded WGS84 building outline, simplified at
0.5 m, for report maps and illustrative 3D massing. Use `building_height_m`
(volume divided by footprint), never altitude `height_m_above_sea_level`,
for extrusion. Preserve `geometry_attribution`. The extrusion does not
show actual facades, roof details, or a flat's internal boundaries.

UK only. Costs 15 credits (15p). Keyed on a UPRN, not an address: call `address_autocomplete` (free) to narrow, then `address_resolve` to get one.

Input Schema

NameRequiredDescriptionDefault
uprnsYes

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, consistent with 'UK only'. The description adds real value beyond that: cost, null-handling for `year_built` and `num_floors`, 0.5 m simplification of the outline, attribution preservation, and the caveat that extrusion is massing-only. However, one important behavioral trait is missing: the description never states any limit on how many UPRNs may be batched per call, so an agent cannot predict the cost or failure mode of a large request.

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?

Three short paragraphs, front-loaded with the resource and its fields, then data-quality caveats, then usage rules. Every sentence is informative, though the extrusion caveats (no facades, no internal boundaries) sit at the tail and could be tighter for a description that is already long.

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

Completeness5/5

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

An output schema exists, so return values need not be explained; the description instead supplies the operational context an agent needs — geography, cost, prerequisite resolution chain, null semantics, and how to consume the GeoJSON correctly (use building_height_m, not altitude). Nothing material is missing for a single-parameter read tool.

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 0% and the sole parameter is a bare integer array with no description, so the description must carry the load. It does much of that: 'a set of UPRNs' conveys batch semantics, 'keyed on a UPRN, not an address' rules out the wrong identifier type, and it points to the tools that produce valid values. It stops short of stating per-call caps or ordering, which is the remaining gap.

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?

States a specific resource (physical form of the buildings a set of UPRNs sit in) and enumerates exactly what comes back: height, volume, footprint area, floor count, materials, basement, green roof, solar, unit mix. This clearly separates it from siblings such as energy_profile, solar_potential or property_summary without needing their schemas.

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

Usage Guidelines5/5

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

Explicit routing: UK only, keyed on UPRN rather than address, and a named two-step path (free `address_autocomplete` to narrow, then `address_resolve` to obtain the identifier). It also states the cost (15 credits / 15p), letting the agent weigh the call before making it.

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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