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lemonade_set_recipe

Set the precise amounts of lemons, sugar, and ice per pitcher to establish the lemonade recipe for the day.

Instructions

Set the exact lemons, cups of sugar, and ice cubes used per pitcher before starting the day.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
iceYes
sugarYes
lemonsYes
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the action but does not mention side effects, reversibility, or what happens if called after the day has started. For a mutation tool, this is a significant gap.

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 a single, well-structured sentence that front-loads the core action and timing, with no unnecessary words or repetition of schema details.

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

Completeness3/5

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

For a simple setter with three parameters, the description covers the purpose and timing adequately. However, the lack of behavioral transparency (e.g., idempotency, restrictions) and no mention of return values or error cases makes it incomplete for an agent that needs to fully understand the tool's effects.

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 input schema has 0% description coverage, so the description compensates by clarifying the meaning of the parameters: 'lemons', 'cups of sugar', and 'ice cubes' per pitcher. It adds units and context that the schema does not provide.

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 what the tool does: 'Set the exact lemons, cups of sugar, and ice cubes used per pitcher.' It uses a specific verb ('Set') and resource ('recipe'), and the timing ('before starting the day') distinguishes it from sibling setter tools like set_price and set_advertising.

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?

The description gives clear context for when to use the tool ('before starting the day'), which implies it should not be used after the day begins. However, it does not explicitly mention alternatives or when not to use it, so it stops short of a full 5.

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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