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transform_recipe

Modify a recipe according to your instructions, such as making it vegan, changing serving sizes, or adjusting calorie targets. Returns a transformed recipe that fits your dietary needs.

Instructions

Transform an existing recipe based on instructions (e.g., make it vegan, adjust calories, change servings)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
recipeYesThe recipe to transform
proteinNoNew target protein in grams per serving
caloriesNoNew target calories per serving
servingsNoNew number of servings
instructionsYesInstructions for how to transform the recipe
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It states 'transform' but does not clarify whether the original recipe is modified, a new one is returned, or how unspecified fields are handled. 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 sentence, front-loaded with the core action, and includes useful examples without unnecessary detail.

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

Completeness2/5

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

With a complex nested recipe schema and no output schema, the description should explain what the transformed result looks like or whether original fields are preserved. The absence of return behavior leaves the tool incomplete.

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%, so descriptions for all parameters are already present. The tool description adds a few examples but no additional meaning beyond what the schema provides. Baseline 3 is appropriate.

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 transforms an existing recipe using instructions, with concrete examples (vegan, calories, servings). This distinguishes it from the sibling tool generate_recipe, which creates new recipes.

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 use when you have an existing recipe to modify, and examples show typical scenarios. However, it does not explicitly mention when not to use it or compare against generate_recipe.

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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