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tresor4k

macalc

calculate_cost_price

Determine unit cost price by adding raw materials, labor, and overhead costs, then dividing by total units produced.

Instructions

Calculate unit cost price from raw materials, labor, and overhead. Returns: {total_cost}. See list_bundles for related 'finance-universal' calculators.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
raw_materialsYesRaw material cost
laborYesLabor cost
overheadYesOverhead/indirect costs
quantityYesNumber of units produced

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, so the description must carry the behavioral disclosure burden. It implies a pure calculation with no side effects (no destructive actions), but does not explicitly state that the tool is read-only or idempotent. The return format is mentioned but incomplete without an output schema.

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?

The description is extremely concise with only two sentences, no wasted words, and the key information is front-loaded. Every sentence contributes value.

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?

Given the tool's simplicity and the fact that the input schema covers all parameters thoroughly, the description is largely complete. However, it could be more explicit about the output structure (though an output schema likely exists) and provide guidance on valid value ranges or constraints beyond the schema's minima.

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?

The input schema already provides 100% coverage and descriptions for all four parameters. The description adds only minimal context by naming the components (raw materials, labor, overhead) and noting that quantity is involved, but does not significantly enhance understanding beyond the schema.

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 it calculates unit cost price from raw materials, labor, and overhead. It distinguishes from sibling calculators by focusing on cost price, but the mention of 'Returns: {total_cost}' is slightly ambiguous as it implies the output might be total cost rather than unit cost.

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?

The description only hints at related tools via 'See list_bundles for related finance-universal calculators' but provides no explicit guidance on when to use this tool versus alternatives, nor when not to use it.

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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