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Jaume9

wealth-engine

by Jaume9

Profit-Maximizing Price Optimizer

price_optimizer

Optimize pricing by fitting a linear demand curve to your price/quantity data. Calculate the profit-maximizing price using unit costs, and view a price sweep for informed decisions.

Instructions

Find the price that maximizes profit for a product or service. Fits a linear demand curve to your observed price/quantity points, derives the optimal price from unit economics, and returns a transparent price sweep. Also reports the revenue-maximizing price for growth strategies.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
unitCostYesVariable cost to produce/deliver one unit.
fixedCostNoFixed costs for the period. Default 0.
demandPointsYesAt least two price/quantity observations (must slope downward).
Behavior3/5

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

No annotations are provided, so the description bears full responsibility. It mentions fitting a linear demand curve, deriving optimal price from unit economics, and returning a transparent price sweep. However, it does not disclose computational assumptions, limitations (e.g., linearity), or potential side effects. Adequate but not comprehensive.

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 three sentences long, front-loaded with the main purpose, and contains no extraneous information. Every sentence adds value, making it concise and well-structured.

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 no output schema, the description mentions 'returns a transparent price sweep' and reports both profit- and revenue-maximizing prices. However, it lacks explicit details on the output format or structure, which would improve completeness. Mostly sufficient but with a minor gap.

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% as all parameter descriptions are provided in the schema. The description adds context like 'observed price/quantity points' and 'unit economics', but does not significantly extend beyond the schema's own descriptions. Baseline score of 3 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 finds the price that maximizes profit, fitting a linear demand curve. It specifies the resource (product/service) and verb (find/optimize). However, it could be more specific about the return format to fully distinguish from similar tools.

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?

The description implies usage for profit maximization and revenue maximization, but does not explicitly state when NOT to use the tool or provide comparisons to sibling tools like 'freelance_rate' or 'roi_compare'. Guidelines are implied but not explicit.

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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