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Better Mealie MCP

Create Households Mealplans Random

create_households_mealplans_random

Generates a random meal for a household meal plan, applying the household's meal plan settings to choose an entry type for a specific date. If no settings exist, picks any random meal to fill the plan.

Instructions

create_random_meal is a route that provides the randomized functionality for meal planners. It operates by following the rules set out in the household's meal plan settings. If no settings are set, it will return any random meal.

Refer to the meal plan settings routes for more information on how rules can be applied to the random meal selector.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateYes
entryTypeNo
accept-languageNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv3.20.1

TDQS

C2.9/5.0
Behavior3/5

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

With no annotations, the description carries the behavioral burden. It usefully discloses that selection follows household meal plan rules and falls back to a purely random meal if no rules are set. However, it frames the tool as 'returning' a random meal and does not clarify whether this creates/persists a meal plan or what side effects occur.

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 short and readable, with the core behavior in the first two sentences and a helpful pointer to related settings routes in the third. No wasted words, though the first sentence could be more direct about the action.

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?

The description gives a useful high-level overview, but an agent cannot correctly call the tool without knowing that `date` is required or what `entryType` values mean. It also does not differentiate the random creation flow from the standard create_households_mealplans flow, despite the large sibling list.

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

Parameters1/5

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

Schema description coverage is 0%, and the description mentions none of the actual parameters: the required `date`, the optional `entryType` enum, or `accept-language`. An agent has no guidance on what values to supply or how `date` and `entryType` affect the random selection.

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?

The description clearly identifies this as the randomized meal plan functionality, with a concrete behavior: it uses household meal plan settings and falls back to any random meal when no settings exist. It is distinguishable from the non-random create_households_mealplans sibling, though it does not name that sibling explicitly.

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 intended usage is implied rather than explicitly stated: use this tool when randomized meal plan generation is needed. It points to meal plan settings routes for rule configuration, but it does not explain when to choose this over standard meal plan creation or when not to use 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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