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search_food

Search logged foods by name, including custom foods when no logs match, to retrieve nutrition data from your history.

Instructions

Search logged foods by name across all dates.

Also searches custom foods if no log results found.

Args:
    query: Search term (case-insensitive).
    limit: Max results (default 20).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
queryYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations, the description partially covers behavioral traits (searches across dates, falls back to custom foods), but it lacks details on authentication needs, rate limits, or what happens if no results are found.

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 concise and well-structured: a clear main sentence followed by brief parameter explanations. No wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the presence of an output schema (not shown but noted), the description is reasonably complete for a search tool, but it could mention pagination or behavior when no results are found.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The 'Args' section provides meaningful details beyond the schema: query is case-insensitive, limit has a default of 20. Since schema description coverage is 0%, the description fully compensates.

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 'Search logged foods by name across all dates' and specifies the fallback to custom foods, distinguishing it from sibling tools like get_food_log.

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 provides context by mentioning 'across all dates' and the fallback to custom foods, but it does not explicitly guide when to use this tool versus alternatives like get_food_log or analyze_meal_patterns.

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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