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tresor4k

macalc

calculate_recipe_scaling

Adjust recipe ingredients for any serving size. Provide original servings, target servings, and ingredient list to get scaled quantities.

Instructions

Scale recipe ingredients up or down by a factor or new servings count. Use for cooking adjustments. Inputs: ingredients list, original servings, new servings. Returns scaled ingredient list. See list_bundles for related 'cuisine' calculators.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
originalYesOriginal servings
targetYesTarget servings
ingredientsYesIngredients

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.
Behavior2/5

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

No annotations are provided, and the description only says 'Returns scaled ingredient list' without disclosing behavioral traits like idempotency, permissions, or error handling. It adds minimal value over the schema.

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?

The description is concise and front-loaded with the purpose. The second sentence is somewhat redundant with the schema, but overall efficient.

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?

An output schema exists, so return values are covered. However, the description lacks details on how scaling works (e.g., linear scaling) and potential errors, leaving some gaps for a simple calculator.

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 description only restates parameter names without adding meaning or constraints beyond what the schema already provides. Baseline score is appropriate.

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?

The description clearly states the tool scales recipe ingredients by a factor or new servings count, but it does not explicitly differentiate from siblings like calculate_recipe_nutrition or calculate_bread_hydration.

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?

It says 'Use for cooking adjustments' but provides no when-not-to-use or alternatives. The mention of list_bundles is vague and not specific to this tool's usage.

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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