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get_micronutrients

Retrieve a detailed micronutrient breakdown to identify nutrient gaps and plan meals, showing daily vitamins and minerals with period averages.

Instructions

Get detailed micronutrient breakdown for meal planning.

Shows vitamins, minerals, and other micronutrients per day with period averages. Use this to identify nutrient gaps and plan meals.

Args: start_date: Start date as YYYY-MM-DD (defaults to 7 days ago). end_date: End date as YYYY-MM-DD (defaults to today).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
start_dateNo
end_dateNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description must cover behavioral traits. It mentions default values for start_date and end_date but lacks details on side effects, performance, or output structure beyond 'vitamins, minerals, and other micronutrients.' Minimal behavioral disclosure.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise (two short paragraphs) with the purpose stated first followed by parameter details. No extraneous information is present.

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 optional params, output schema exists), the description is sufficiently complete for a query tool. It covers purpose, usage, and parameter meaning, though it could mention output schema or sibling differentiation.

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?

With 0% schema description coverage, the description adds significant value by explaining the format (YYYY-MM-DD) and defaults for both start_date and end_date. This compensates for the schema's lack of parameter documentation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states that the tool retrieves a detailed micronutrient breakdown with vitamins and minerals per day and period averages, which distinguishes it from macronutrient-focused siblings like get_daily_nutrition. However, it does not explicitly differentiate from siblings.

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 includes 'Use this to identify nutrient gaps and plan meals,' providing a clear usage scenario. However, it does not specify when not to use this tool or mention alternative tools for similar purposes.

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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