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generate_weekly_meal_plan

Creates a personalized 7-day meal plan based on your profile (weight, height, age, gender, activity, goal, diet, allergies) and suggests daily calorie adjustments when intake falls short.

Instructions

Generate a 7-day meal plan of concrete foods (LLM-proposed, API-Ninjas-grounded, reconciled to targets).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNoNumber of days (default 7)
profileYes
Behavior3/5

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

With no annotations, the description carries the burden. It gives some insight into the generation process but does not disclose output handling, side effects, or limitations (e.g., API costs, latency). Adequate but minimal.

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?

Single sentence, front-loaded with key action and constraints. Could be slightly more structured but no wasted words.

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

Completeness2/5

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

Given the complexity (nested profile object, multiple parameters) and lack of output schema, the description is too brief. Does not explain what the output looks like, error conditions, or how targets are specified. Incomplete for a new user.

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 description coverage is 50% (some parameters have descriptions in schema). The tool description adds no additional parameter semantics. Baseline 3 is appropriate as the schema partially explains parameters.

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?

Description clearly states the tool generates a 7-day meal plan and mentions the approach (LLM-proposed, API-Ninjas-grounded, reconciled to targets). However, it does not explicitly differentiate from sibling tools like compute_targets or adjust_daily_calories.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool vs alternatives, no prerequisites or exclusions provided. The description lacks context about what inputs are needed or what steps precede it.

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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