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AiAgentKarl

openfoodfacts-mcp-server

search_food

Search for food products by name, ingredient, or brand and get a list with basic information.

Instructions

Sucht Lebensmittelprodukte nach Name, Zutat oder Marke. Gibt eine Liste von passenden Produkten mit Grundinformationen zurueck.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSuchbegriff (z.B. "Schokolade", "vegan pasta", "Bio Joghurt")
max_resultsNoAnzahl der Ergebnisse (1-20, Standard: 10)
pageNoSeite der Ergebnisse (Standard: 1)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations provided, so description carries full burden. It states returns list with basic info but does not disclose pagination behavior, rate limits, authentication needs, or potential side effects. Schema has pagination params but description doesn't elaborate.

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?

Two concise sentences with no fluff. Front-loaded purpose clearly.

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?

Given existence of output schema, description doesn't need to detail return format. Mentions basic info. Could add guidance on when to use vs lookup_product_by_barcode, but overall adequate for a search tool.

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?

Schema coverage is 100% with clear descriptions. The description adds value by specifying search types (name, ingredient, brand) not in schema, enhancing parameter understanding.

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 it searches food products by name, ingredient, or brand and returns a list with basic info. It distinguishes from siblings like lookup_product_by_barcode (barcode search) and get_nutrition_facts (specific product info).

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 usage for general food product search but does not explicitly provide when to use vs alternatives. No comparison with sibling tools like check_allergens or find_alternatives.

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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