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tresor4k

macalc

calculate_insulation_r_value

Calculate R-value of insulation with thickness and conductivity, then compare against RE2020 targets to check compliance for walls, roof, and floor.

Instructions

Calculate thermal R-value: R = thickness/lambda. Compare with RE2020 targets. Returns: {lambda_w_mk, r_value_m2KW, re2020_targets, walls_ok, roof_ok, floor_ok}. See list_bundles for related 'science' calculators.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
thickness_mmYesInsulation thickness in mm
lambdaYesConductivity W/(m·K) — mineral wool ~0.035, polyurethane ~0.025

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultNoComputed result. Object whose fields depend on the tool (e.g. {tax, marginal_rate, brackets} for tax tools, {volume_l, gallons} for volume tools).
formulaNoHuman-readable formula or method used (e.g. "I=P·r·t", "Magnus formula").
sourceNoAuthoritative source for the rule or formula (e.g. "Article 197 CGI", "NF DTU 21").
reference_urlNoLink to a calcul2 page documenting the calculation in detail.
Behavior3/5

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

No annotations exist, so the description carries the burden. It discloses the formula and return fields, but does not explicitly state that it is a non-destructive read-only operation. For a calculator, this is adequate but not exceptional.

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 sentences with no filler. First sentence states the core purpose and formula; second sentence describes output and points to related tools. 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?

The description lists all output fields and mentions RE2020 targets, which is sufficient for a simple calculator. The presence of an output schema (indicated in context signals) further reduces the need for extensive description. Minor gap: no mention of units for output fields beyond the field names.

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 input schema already provides clear descriptions for both parameters (thickness_mm and lambda) with examples. The description adds the formula context, which helps agents understand the calculation logic beyond the schema.

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 it calculates thermal R-value using the formula R = thickness/lambda, and specifies comparison with RE2020 targets. It distinguishes itself from over 300 sibling calculators by being specific to insulation R-value.

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?

It provides a formula and return structure, implying when to use (when needing R-value calculation). It also references 'list_bundles' for related science calculators, offering a hint for alternatives. However, it does not explicitly state when not to use it or exclude other 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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