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List wall types and finishes

materials
Read-only

Select wall types (drywall, masonry, concrete) and finish patterns (color, tile) to define surfaces in your floor plan and 3D visualization.

Instructions

Wall types [id,name,t] (drywall, masonry, concrete…) and finish patterns [key,label,color,tile].

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
patternsYes[key, label, #rrggbb, tile WxH cm]
wall_typesYes[id, name, thickness cm]

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, covering the safety and world-model aspects. The description adds the structure of the returned data (wall types vs finish patterns), providing some value beyond annotations. It does not describe pagination, filtering, or any side effects, but for a simple list tool this is minor.

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 concise, a single sentence with no filler. The bracket notation is compact, but the unexplained 't' in '[id,name,t]' and the ambiguous 'tile' in finish patterns reduce clarity slightly. Still, every word earns its place.

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?

For a parameterless, read-only list tool with an output schema present, the description is sufficient. It identifies the two main categories an agent would receive. The cryptic tuple field names are not ideal but are recoverable from the output schema, so the completeness gap is small.

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?

The tool has zero parameters, so there is no parameter semantics to explain. The baseline for 0-param tools is 4, and the description correctly avoids inventing parameter guidance. The schema coverage is trivially 100% because the schema is empty.

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 states the resource (wall types and finish patterns) and the content of the listing. The title reinforces the list action. It does not explicitly differentiate from siblings like 'catalog', but the material-specific context makes it clear enough.

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

Usage Guidelines3/5

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

The tool's purpose implies when to use it (when wall types or finish patterns are needed), but there is no explicit guidance about alternatives or when not to use it. Given the parameterless, query-like nature of the tool, the lack of exclusions is acceptable but still leaves the agent inferring usage from context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.