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Search Foods (USDA)

health.nutrition.food_search
Read-onlyIdempotent

Search 350K+ foods in the USDA FoodData Central database to retrieve nutrition facts, ingredients, branded products, and reference foods.

Instructions

Search 350K+ foods in the USDA FoodData Central database — nutrition facts, ingredients, branded products, and reference foods

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesFood search query (e.g. "chicken breast", "brown rice", "vitamin D milk")
data_typeNoUSDA data type filter: "Foundation" (reference foods), "Branded" (brand-name products), "SR Legacy" (legacy reference), "all" (default)
brand_ownerNoFilter by brand owner name (e.g. "General Mills", "Tyson")
page_sizeNoResults per page (1-200, default 50)
page_numberNoPage number (default 1)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultNoTool response payload. Shape varies per tool — consult the tool description and inputSchema. May be an object, array, string, or number depending on the upstream provider response.
errorNoPresent only when the call failed. Includes error code, message, request_id, and any provider-specific extras.
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true. Description adds context about the data types (nutrition facts, ingredients, branded products, reference foods) but does not disclose further behavioral traits beyond annotations.

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 that front-loads key information: search scope, database name, and data types. No extraneous words.

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?

With an output schema present and good annotations, the description adequately covers the tool's purpose and returned data categories (nutrition facts, ingredients, branded products, reference foods). Lacks mention of pagination or rate limits but acceptable for a search 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 has 100% description coverage with clear parameter explanations. The description adds general context about returned data types but does not enhance parameter meaning significantly. Baseline score 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 uses specific verb 'Search' and clarifies the resource (USDA FoodData Central) with scope (350K+ foods). It distinguishes from sibling tool 'food_details' by indicating it's a broad search tool.

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 does not explicitly state when to use this tool vs alternatives like 'food_details' or other nutrition tools. Usage context is implied but not formally guided.

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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