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caioribeiro25

agro-market-agent

get_commodity_price

Retrieve current prices for agricultural commodities such as soy, corn, and cattle. Optionally filter by Brazilian state for localized data.

Instructions

Retorna o preço atual de uma commodity agrícola.

Args: commodity: nome da commodity (ex: "soja", "milho", "boi_gordo"). region: sigla/estado opcional (ex: "MT", "PR"). Vazio = média Brasil.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
regionNo
commodityYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries the full burden. It only states the core behavior (returns current price) but does not disclose what happens on invalid parameters (e.g., unknown commodity, region), whether the price is real-time, or any side effects. Error behavior is unclear.

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?

The description is concise, with two lines of purpose and an Args block. Every sentence serves a purpose. It could be slightly more structured (e.g., separate behavior from parameters), but it is not wasteful.

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 low complexity (2 params, no nesting, output schema exists), the description covers the key aspects: what it does, parameter meanings, and optionality. It does not mention error handling or data freshness, but the output schema likely covers return format.

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 description coverage is 0%, but the description adds examples for commodity ('soja', 'milho', 'boi_gordo') and region ('MT', 'PR') and clarifies that empty region means national average. This adds significant meaning beyond the schema's type and default.

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 returns the current price of an agricultural commodity. The verb 'Retorna' and resource 'preço atual de uma commodity agrícola' are specific. It distinguishes from siblings like list_commodities (listing) and calculate_margin (computation).

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 when needing a current price, but does not explicitly state when to use it vs alternatives (e.g., for historical trends use get_historical_trend). No when-not-to-use guidance is provided.

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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