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Proven Plaza Calculators & Open Data

Flooring & Tile Calculator (Square Feet & Boxes)

calc_flooring_tile
Read-only

Square footage plus waste and number of boxes for tile, laminate, vinyl plank or hardwood. Formula: Area = L × W; to buy = area × (1 + waste%); boxes = to buy ÷ coverage per box.

Input Schema

NameRequiredDescriptionDefault
width_ftNoRoom width (ft); default 12
length_ftNoRoom length (ft); default 14
waste_pctNoWaste allowance (more for diagonal layouts) (%); default 10
box_coverage_sqftNoCoverage per box (on the box) (sq ft); default 20

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds genuine value by exposing the exact computation (Area = L × W; to buy = area × (1 + waste%); boxes = to buy ÷ coverage per box), letting the agent anticipate outputs in the absence of an output schema.

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 compact sentences: the outcome is front-loaded, followed by the formula. No wasted wording and every clause 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 deterministic calculator with no output schema, the description adequately names the outputs (square footage, to-buy quantity, boxes) and the formula that produces them. It does not specify rounding of box counts or input units/validation, but it is close to complete for a tool of this complexity.

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 description coverage is 100%, so the baseline is 3. The description goes further by giving the formula that relates the parameters — how waste_pct and box_coverage_sqft feed into the final box count — adding relational meaning beyond the individual field descriptions.

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: computes square footage, waste allowance, and box count for tile/laminate/vinyl/hardwood. It is clear what it does. It does not explicitly differentiate itself from the many sibling material calculators (calc_paver, calc_sod, calc_board_foot), which also compute area-based quantities, so it falls short of a 5.

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?

Usage is implied by the material list and the parenthetical hint that waste is higher for diagonal layouts. However there is no explicit when-to-use versus when-not-to-use guidance and no reference to alternative calculators, leaving the agent to infer the appropriate context.

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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