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tresor4k

macalc

calculate_dilution

Compute the unknown concentration or volume in a dilution using the formula C1·V1 = C2·V2. Enter any three values to get the fourth.

Instructions

Compute dilution C1·V1=C2·V2. Solve for any unknown. Use for chemistry, lab work, pharmacy. Inputs: any 3 of (C1, V1, C2, V2). Returns the fourth. See list_bundles for related 'science' calculators.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
c1NoInitial concentration
v1NoInitial volume
c2NoFinal concentration
v2NoFinal volume

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.
Behavior4/5

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

No annotations are provided, so the description fully explains the tool's behavior: it computes a missing value using the dilution equation. For a pure calculation tool, this is sufficient. No side effects or contradictions are present.

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: two sentences that front-load the key formula and immediately state usage. No unnecessary words or repetition.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple calculator tool with an output schema present, the description covers purpose, usage guidelines, and references related tools. It is complete and leaves no ambiguity about how to invoke the tool.

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?

Schema coverage is 100% but descriptions are minimal. The description adds value by clarifying that any three parameters can be supplied and that the equation is the underlying logic, which goes beyond the parameter names.

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 the tool's purpose using the specific formula C1·V1=C2·V2 and explicitly lists use cases (chemistry, lab work, pharmacy). It distinguishes from sibling tools by specifying the exact calculation method.

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 clearly states that any three of the four parameters are required as input and the missing one is calculated. The mention of 'list_bundles' for related calculators provides a pointer to alternatives, though it lacks explicit 'when not to use' guidance.

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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