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Jatin-IITB

Open Food Facts MCP Server

by Jatin-IITB

getAdditivesInfo

Retrieve all additives present in a food product, including E-numbers and NOVA processing level, by searching with the product name or barcode.

Instructions

List all additives in a product with their E-numbers and NOVA processing level

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameOrBarcodeYesProduct name or barcode (EAN/UPC)
Behavior3/5

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

No annotations are present, so the description must convey behavioral traits. It describes a read operation but does not specify side effects, error conditions, or whether the result is always an array. The description is adequate but minimal.

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, front-loaded sentence with no redundant words. Every part contributes to understanding the tool's function.

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?

For a simple tool with one parameter and no output schema, the description covers the main purpose and hints at the return fields (E-numbers, NOVA level). It could mention error handling or format, but it's mostly 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% for the single parameter. The description adds no extra meaning beyond the schema description 'Product name or barcode (EAN/UPC)'. Baseline 3 applies.

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 action ('list all additives'), the resource ('in a product'), and the specific information returned ('E-numbers and NOVA processing level'). This distinguishes it from sibling tools like getProductByBarcode or analyzeProduct.

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, what constitutes a valid input, or how to handle errors (e.g., product not found).

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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