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nitishkp001

NutriClarity MCP

by nitishkp001

find_healthier_alternative

Finds healthier alternatives to a food product by searching its category for items with a lower Nutri-Score, returning the best matches first.

Instructions

Suggest healthier products in the same category as the given product.

Looks up the product, then searches its category for items with a better (lower) Nutri-Score, returning the healthiest matches first.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of alternatives to return (1-10, default 5).
barcodeYesThe product barcode, digits only.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations, the description carries full burden. It discloses the key behavior: looking up product, searching category for lower Nutri-Score, and returning healthiest first. It does not mention error handling or edge cases, but the core algorithm is transparent.

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 two sentences: a clear purpose statement followed by a brief process explanation. No wasted words; front-loaded with the most important information.

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 the tool's simplicity (2 params, 100% schema coverage, output schema present), the description covers core functionality and algorithm. It lacks edge case details but is adequate for selecting and invoking the tool.

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% with both parameters documented. The description adds no additional meaning beyond the schema, meeting the baseline of 3. It does not explain barcode format beyond 'digits' or limit semantics beyond max number.

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 'Suggest healthier products in the same category as the given product', specifying a specific verb (suggest) and resource (healthier products). It distinguishes itself from sibling tools like compare_products and search_products by focusing on health-based alternatives within a category.

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 when a user wants healthier alternatives but lacks explicit guidance on when not to use this tool or alternatives. It mentions the lookup process but does not compare with siblings or specify prerequisites like product existence.

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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