generate_random_meal_plan

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

No annotations are present, so the description is the only source of behavioral information. It does not disclose whether the operation creates or replaces entries, whether existing entries are preserved, whether duplicate recipes are possible, or any side effects. 'Auto-fill' implies mutation, but important behavioral details are absent.

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

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

The description is one concise sentence followed by a clean parameter list with no filler. Every element contributes, and important details are front-loaded.

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

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

For a low-complexity tool with three documented parameters and an output schema available, the description is nearly sufficient. It misses only a side-effect clarification (e.g., whether auto-filling overwrites existing plan entries), which is relevant for safe invocation.

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

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

The schema only provides types and a default, with zero description coverage, so the Args section is essential. It gives exact date format (YYYY-MM-DD), allowed meal-type values, and the dinner default, adding substantial meaning beyond the raw schema.

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

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

The description uses a specific verb ('auto-fill') and resource ('date range with random recipes from your collection'), clearly distinguishing itself from the manual create_meal_plan_entry and other meal-plan tools. The notion of auto-generating random meals is immediately understandable and unique among siblings.

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

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

The use case (filling a date range with generated meals) is implied by the verb and object, but there is no explicit when-to-use guidance, exclusion criteria, or comparison to alternatives such as create_meal_plan_entry for manual entries. This leaves some routing inference to the agent.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.