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tresor4k

macalc

calculate_meat_cooking

Determine oven cooking time and target internal temperature for meat based on type, weight, and doneness. Supports beef, pork, chicken, turkey, lamb.

Instructions

Compute meat cooking time and target internal temperature by cut and doneness. Use for kitchen prep. Inputs: meat type, weight kg, doneness. Returns oven time and target temp. See list_bundles for related 'cuisine' calculators.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
weight_kgYesMeat weight kg
meatYesMeat type
donenessNoDonenessmedium

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 provided, so description must carry burden. Only states it computes returns; lacks safety or side-effect details such as read-only nature or any prerequisites.

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?

Two concise sentences with front-loaded purpose. No redundant information. Efficiently communicates core functionality.

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 relatively simple tool with 3 parameters and an output schema (implied), the description covers the essentials. Could mention more about output format but adequate.

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 coverage is 100% with descriptions for all parameters. Description merely echoes schema inputs without adding extra meaning (e.g., units already in schema). Baseline score fine.

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?

Clearly states it computes cooking time and target temperature by cut and doneness. Mentions inputs and outputs explicitly. Could be more precise about 'cut' referring to meat type.

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?

Vague 'Use for kitchen prep' without specifying when to use versus other calculators. Only hints at related calculators via list_bundles, no explicit exclusions or alternatives.

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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