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evcraddock

mealplan-mcp

by evcraddock

list_mealplans_by_date_range

List meal plans within a specified date range, returning details on meal titles, types, cook, and dishes for each scheduled meal.

Instructions

List meal plans within a specified date range.

Args:
    date_range: Dictionary containing start and end dates in format YYYY-MM-DD
        - start: Start date (required)
        - end: End date (required)

Returns:
    JSON string containing array of meal plan objects with:
    - title: Meal title (cleaned)
    - date: Date in YYYY-MM-DD format
    - meal_type: Type of meal (breakfast, lunch, dinner, snack)
    - cook: Person cooking the meal
    - dishes: Array of dish names

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
date_rangeYes
Behavior2/5

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

No annotations are provided, so the description carries full behavioral burden. It does not disclose whether the operation is read-only, whether it requires authentication, whether results are paginated, or what happens with overlapping date ranges. The return format is detailed, but safety and side-effect information is missing.

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 well-structured with a clear summary followed by parameter details and return value format. It's a bit verbose in the return section but uses bullet points effectively. Could potentially shorten the return section by referring to a common object type.

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 schema provides only a bare object definition and no annotations, the description adds meaning for the single parameter and return value. However, it lacks behavioral context (authentication, performance, pagination) and is not fully complete for a production tool. The return value description is thorough.

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?

Schema description coverage is 0%, so the description must compensate. It explains the 'date_range' parameter is a dictionary with required 'start' and 'end' keys in YYYY-MM-DD format. This adds critical meaning beyond the schema, which only defines it as an object with additionalProperties true.

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 lists meal plans within a specified date range, using a specific verb ('List') and resource ('meal plans'). The date range constraint is front and center, differentiating it from sibling tools like 'create_mealplan' or 'export_mealplans_to_pdf'.

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

Usage Guidelines4/5

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

The description provides clear context that this tool is for listing over a date range. While it doesn't explicitly mention when not to use it or alternatives, the date-range requirement is stated clearly. There are no sibling tools that also list meal plans, so differentiation is implicit.

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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