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djwmarcx

Better Mealie MCP

by djwmarcx

create_parser_ingredients

Parse ingredient strings into structured data for recipes. Choose between NLP, brute force, or OpenAI parsing with optional language support.

Instructions

Parse Ingredients

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
parserNo
ingredientsYes
accept-languageNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description must disclose behavioral traits, but it only states 'Parse Ingredients'. It does not mention that the tool likely creates a parsed result, requires authentication, has side effects, or any constraints like rate limits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

At two words, the description is extremely concise but at the expense of necessary detail. It fails to provide a complete sentence or any structured information, making it more of a placeholder than useful documentation.

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

Completeness1/5

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

Given the tool has three parameters, no schema descriptions, no annotations, an output schema exists but unexplained, and the description is minimal, it is severely incomplete. The agent lacks critical context to correctly invoke the tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It adds no meaning to the three parameters: 'parser' (enum with values 'nlp', 'brute', 'openai'), 'ingredients' (required array of strings), and 'accept-language' (nullable string). No explanation of parser choices, ingredient format, or language handling.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Parse Ingredients' conveys the general action (parsing ingredients) but is vague. It does not differentiate from the sibling tool 'create_parser_ingredient' which likely handles a single ingredient, while this tool probably processes multiple ingredients from the 'ingredients' array parameter. However, this distinction is not made explicit.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives like 'create_parser_ingredient'. There is no advice on prerequisites, input format, or scenarios where this tool is appropriate.

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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