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Rubio-Enterprises

grocy-mcp

Recipe Add Ingredient Tool

recipe_add_ingredient_tool

Add an ingredient to an existing recipe by providing the recipe and product name; optionally set the quantity. Resolves product automatically.

Instructions

Add an ingredient to an existing recipe using the product name.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
amountNoQuantity needed for the recipe (default 1).
recipeYesRecipe name or ID.
productYesProduct name (e.g. "Flour") — resolved automatically.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

B3.2/5.0
Behavior2/5

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

No annotations are present, so the description must disclose side effects. It only restates the operation and notes product-name resolution; it does not mention that this modifies a recipe, how duplicates are handled, or what happens if the recipe or product does not exist. This is insufficient behavioral disclosure for a mutation tool.

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 a single, front-loaded sentence with no redundancy. It is concise, though it omits useful behavioral context that would make it more informative.

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?

The tool is simple with three fully documented parameters and an output schema, so the core call inputs are covered. However, with no annotations and no usage or error guidance, the description leaves behavioral gaps around mutation and failure cases, making it minimally adequate rather than complete.

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 the baseline is 3. The description adds no parameter semantics beyond the schema; the phrase 'using the product name' and the schema's 'resolved automatically' cover the product parameter, while recipe and amount are already documented.

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 states a specific action ('Add an ingredient') and target ('an existing recipe') plus the lookup method ('using the product name'). It clearly conveys the function, though it does not explicitly contrast with sibling tools such as recipe_remove_ingredient_tool.

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 the tool is for adding ingredients to an already-created recipe, but it gives no explicit when-to-use guidance or mention of alternatives. There are no exclusions or conditions, so the context must be inferred from the action itself.

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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