MaCalculatriceEnLigne

calculate_insulation_r

Compute thermal resistance R = thickness/lambda. Use for insulation specification (RT2020/RE2020). Inputs: thickness m, conductivity λ W/m·K. Returns R-value m²·K/W. See list_bundles for related 'construction' calculators.

Input Schema

TableJSON Schema

Name	Required	Description	Default
`lambda`	Yes	Conductivity W/(m.K)
`thickness_mm`	Yes	Thickness mm

Output Schema

TableJSON Schema

Name	Required	Description
`result`	No	Computed result. Object whose fields depend on the tool (e.g. {tax, marginal_rate, brackets} for tax tools, {volume_l, gallons} for volume tools).
`source`	No	Authoritative source for the rule or formula (e.g. "Article 197 CGI", "NF DTU 21").
`formula`	No	Human-readable formula or method used (e.g. "I=P·r·t", "Magnus formula").
`reference_url`	No	Link to a calcul2 page documenting the calculation in detail.

Schema Changelog

Changes observed during successful MCP inspections.

First observedJul 13, 2026

TDQS

A4.4/5.0

Behavior4/5

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 formula, required inputs with units, and return value units. No side effects are mentioned, but for a pure calculation tool, this is sufficient. No contradictions with annotations (none exist).

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?

Three concise sentences: first states purpose and formula, second specifies usage and inputs with units, third mentions return unit and related tools. No redundant information.

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?

The description covers purpose, formula, input units, return unit, and related bundle. It is complete for a simple calculator tool, especially given the existence of an output schema (not shown but inferred from context).

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 schema already provides 100% coverage with descriptions and constraints. The description adds value by explaining the physical meaning (thickness and conductivity) and the formula context, which is useful for domain understanding.

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 clearly states the tool computes thermal resistance R using the formula thickness/lambda. It specifies the context (insulation specification RT2020/RE2020) and distinguishes itself from other calculators by pointing to list_bundles for related construction calculators.

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

Usage Guidelines4/5

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

The description explicitly says 'Use for insulation specification (RT2020/RE2020).' and guides users to list_bundles for related calculators. While it doesn't specify when not to use it, the clear formula and units provide effective guidance.

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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