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domdomegg

openfoodfacts-mcp

Autocomplete

autocomplete
Read-only

Need to complete a taxonomy term? Use this tool to get autocomplete suggestions for Open Food Facts entries like brands, categories, labels, and more by specifying the tag type and search prefix.

Instructions

Get autocomplete suggestions for Open Food Facts taxonomy entries (brands, categories, labels, etc.).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagtypeYesType of taxonomy to search
queryYesSearch prefix
lcNoLanguage code (default: en)en
limitNoMax results (default: 10, max: 100)
Behavior3/5

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

Annotations already indicate read-only operation. Description adds no extra behavioral details like rate limits or error handling. Adequate for a simple read operation.

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?

Single sentence, front-loaded with purpose, no wasted words. Highly efficient.

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?

Tool is low complexity with no output schema. Description fully explains what it does. All critical info present. Minor gap: no mention of response format, but not required due to simplicity.

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 parameters are well-described in schema. Description adds only examples of tagtype values, no new semantic meaning beyond schema.

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?

Description clearly states verb 'Get', resource 'autocomplete suggestions', and domain 'Open Food Facts taxonomy entries' with examples. Distinguishes from sibling search tools by focusing on taxonomy autocomplete.

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?

Implied usage for autocomplete during input, but no explicit when-to-use or when-not-to-use compared to sibling search tools. No alternatives mentioned.

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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