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caioribeiro25

agro-market-agent

calculate_margin

Calculate revenue, cost, profit, and margin for agricultural production using unit price, unit cost, and quantity.

Instructions

Calcula receita, custo, lucro e margem de uma produção.

Args: price_per_unit: preço de venda por unidade (ex: R$/saca). cost_per_unit: custo de produção por unidade. quantity: quantidade de unidades produzidas.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
quantityYes
cost_per_unitYes
price_per_unitYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations provided, and the description does not disclose behavioral traits such as whether the tool is read-only or has side effects. As a calculation tool, it likely does not mutate state, but this is not stated.

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 a clear main sentence followed by parameter explanations. Every sentence adds value, and the structure is front-loaded.

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 presence of an output schema (not shown but indicated), the description adequately covers the tool's purpose and parameters. It is complete for a simple calculation tool, though it could mention return format or edge cases.

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?

The description includes a docstring explaining each parameter (price per unit, cost per unit, quantity) with examples (e.g., R$/saca), adding meaning beyond the schema's property titles. Since schema description coverage is 0%, this is valuable.

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 it calculates revenue, cost, profit, and margin for production, with a specific verb and resource. It distinguishes itself from sibling tools like list_commodities or get_commodity_price which are data retrieval, not calculation.

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 margin calculation but provides no explicit guidance on when to use this tool versus alternatives like generate_report. No exclusions or conditions are given.

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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