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get_food_log

Retrieve foods logged on a specific date to analyze your nutritional intake for that day.

Instructions

Get all foods logged on a specific date.

Args:
    date_str: Date (YYYY-MM-DD). Default: today.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
date_strNo

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 carries full burden. It indicates a read operation but does not disclose behavioral traits such as pagination, rate limits, or whether it returns detailed food info. The description is sparse on behavior beyond the basic purpose.

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 extremely concise: two sentences that front-load the purpose. Every sentence earns its place, with 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, the description does not need to explain return values. However, it lacks context about sorting, limits, or time range handling. It is minimally complete but could be more informative.

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 0%, so description must add meaning. It explains the date_str format (YYYY-MM-DD) and notes the default is today, which adds value beyond the raw schema. However, it could be more explicit about the default behavior when no argument is provided.

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 tool retrieves all foods logged on a specific date. It uses a specific verb (Get) and resource (food log), and distinguishes itself from siblings like search_food and get_nutrition_summary.

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 you need a list of foods for a date) but provides no explicit guidance on when to use this tool versus alternatives like search_food. No when-not or exclusion criteria are mentioned.

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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