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Tile Calculator (Tiles Needed)

tile_calculator

Tile Calculator (Tiles Needed) — Calculate how many floor or wall tiles you need. Enter room size, tile dimensions, and waste percentage to get total tiles, boxes to buy, and material cost.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
widthFtYes
lengthFtYes
wastePctYes
pricePerBoxYes
tileWidthInYes
tilesPerBoxYes
tileHeightInYes

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It discloses the outputs (total tiles, boxes, cost) and mentions waste percentage, but does not explain key behaviors like rounding up boxes, unit conversion (ft vs inches), or how waste is applied. This is adequate but incomplete for a calculator with hidden assumptions.

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 a single sentence that is front-loaded with the tool's primary action. It provides all key information without unnecessary words, making it highly concise and scannable.

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

Completeness3/5

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

For a 7-parameter calculator with no output schema, the description should explain more than it does. It lists the outputs (tiles, boxes, cost) and inputs, but does not cover boundary cases, rounding rules, or unit conversion details. It is minimally complete for a simple calculator, but leaves important 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%, so the description must compensate for all 7 parameters. It mentions room size and tile dimensions but does not explicitly name or explain tilesPerBox and pricePerBox, nor does it state the units (e.g., feet vs inches) beyond what property names already imply. The description adds insufficient parameter detail.

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?

The description uses a specific verb ('Calculate') and resource ('floor or wall tiles'), clearly stating the scope ('how many you need'). It distinguishes this from sibling calculators like concrete_calculator and flooring_calculator by focusing on tile-specific inputs and outputs.

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 description implies when to use the tool ('when you need tile quantity') and lists the required inputs, but provides no explicit exclusions or comparisons to alternatives. The context is clear but not differentiated from similar calculators.

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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TDQS

B3.1/5.0
Disambiguation2/5

Many calculators occupy overlapping conceptual spaces, such as 'ai_roi_calculator' vs 'ai_automation_payback_calculator' and 'llm_self_host_vs_api_calculator' vs 'ai_build_vs_buy_calculator'. The boundaries between debt payoff, savings goal, and drawdown tools are also fuzzy, making it easy for an agent to select the wrong tool despite detailed descriptions.

Naming Consistency5/5

Every tool follows the same <topic>_calculator pattern with lowercase snake_case, making the naming highly predictable and consistent. Even acronyms and numbers fit the pattern, so there is no mixing of conventions.

Tool Count1/5

122 tools is an extreme number for a single MCP server, far exceeding the 50+ threshold for a severe mismatch. The tools span unrelated domains like AI costs, pet food, concrete, pizza dough, and turkey cooking, creating an unfocused kitchen-sink surface that overwhelms an agent's selection process.

Completeness3/5

The set covers many common calculator categories such as finance, construction, health, and AI costs, but several staple calculators are missing (e.g., BMI, tip, discount, simple interest, currency conversion). The AI cost cluster is over-saturated while other everyday calculations are absent, leaving minor but noticeable gaps.

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