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MaCalculatriceEnLigne

Calculate Fabric Yardage

calculate_fabric_yardage
Read-onlyIdempotent

Calculate fabric needed for a garment in meters (includes 10% for pattern matching). Returns: {meters_needed, note}. See list_bundles for related 'textile-mode' calculators.

Input Schema

NameRequiredDescriptionDefault
sizeYes
garmentYes

Output 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).
sourceNoAuthoritative source for the rule or formula (e.g. "Article 197 CGI", "NF DTU 21").
formulaNoHuman-readable formula or method used (e.g. "I=P·r·t", "Magnus formula").
reference_urlNoLink to a calcul2 page documenting the calculation in detail.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, non-destructive, closed-world, so the safety profile is covered. The description adds genuine behavioral context beyond that: a 10% pattern-matching allowance and the return shape. It does not mention assumptions about fabric width, which matters for yardage.

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 short sentences, front-loaded with the core action and the unit, then the pattern-matching caveat and return shape, then a cross-reference. No filler; every sentence 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 two-enum-param calculator with an output schema and full annotations, the description supplies what is needed to invoke it. The one real gap is disambiguation from calculate_fabric_needed, which the description does not address.

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 0%, but both parameters are closed enums with self-explanatory values (garment: shirt/dress/pants/skirt/jacket; size: S/M/L/XL). The description frames the input as 'for a garment in meters' but adds no syntax or constraint detail; the enums carry the meaning.

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+resource+unit: 'Calculate fabric needed for a garment in meters.' Clear what it does. However, it does not distinguish itself from the near-identical sibling calculate_fabric_needed (nor calculate_curtain_fabric / calculate_knitting_yarn), so an agent cannot tell which fabric tool to pick from the description alone.

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

Usage Guidelines2/5

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

No when-to-use, when-not, or prerequisite guidance. The pointer 'See list_bundles for related textile-mode calculators' gestures at a family but never says when this tool applies versus calculate_fabric_needed, leaving selection to inference.

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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