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Flooring Cost Calculator

flooring_cost
Read-onlyIdempotent

Estimate installed flooring costs for given room sizes. Returns national installed ranges (labor and materials), no labor-only figure, and no published typical figure. One call compares all eight materials using net room area, with hardwood order guidance, an unpriced prep checklist, a separate historical Census reference card and dated sources. Pure arithmetic, no network or model.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
roomsYes1–20 rooms, each 1–5,000 sq ft; total 10–10,000 sq ft. Use length_ft + width_ft OR area_sqft per room.
layoutNoOnly changes the hardwood order amount: standard 5%, diagonal 10%. Installed estimate always uses net area.standard
materialYesChosen installed material; one call also compares all eight materials.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added
  2. Removed
  3. Added

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, no-network behavior (openWorldHint=false), and the description corroborates 'pure arithmetic, no network or model.' It adds genuine behavioral detail beyond annotations: output shape (installed ranges only, no labor-only or typical figure), hardwood order guidance, an unpriced prep checklist, a Census reference card, and dated sources. With no output schema, this disclosure is valuable.

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?

Front-loaded with the core purpose and no filler sentences. The later clauses are densely packed comma-separated lists, slightly run-on, but each conveys distinct information about outputs and comparisons.

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 calculator with 100% schema coverage, no output schema, and annotations covering the safety profile, the description supplies the needed return-value context (ranges, omitted figures, extras like prep checklist and sources). Nothing critical to correct invocation is missing, though layout's non-effect on the estimate could be restated.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema already documents rooms, layout, and material semantics including the net-area rule. The description's mention of 'net room area' and hardwood order guidance aligns with but does not meaningfully extend the schema, so baseline 3 applies.

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 verb (Estimate) and resource (installed flooring costs) with scope (given room sizes). Distinguishes itself from cost siblings like concrete_calculator, paint_quantity, and driveway_cost by naming flooring specifically and its national installed-range output.

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 phrase 'One call compares all eight materials' implies usage (avoid multiple calls) and the returned/not-returned figures clarify scope, but no explicit alternative tools or when-not conditions are named. Usage is implied rather than stated.

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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