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ai_meal_plan

Draft a meal plan. Not medical advice. confirm:true required. Pass health constraints so the draft can honour them.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysYes
goalNo
healthNo
confirmYes
diet_typeNo
daily_caloriesNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • addedInput schema / properties / confirm
      Added value: +{
      +  "type": "boolean"
      +}
    • addedInput schema / properties / health
      Added value: +{
      +  "properties": {
      +    "allergies": {
      +      "items": {
      +        "type": "string"
      +      },
      +      "type": "array"
      +    },
      +    "conditions": {
      +      "items": {
      +        "type": "string"
      +      },
      +      "type": "array"
      +    },
      +    "injuries": {
      +      "items": {
      +        "type": "string"
      +      },
      +      "type": "array"
      +    },
      +    "medications": {
      +      "items": {
      +        "type": "string"
      +      },
      +      "type": "array"
      +    },
      +    "pregnancy": {
      +      "type": "boolean"
      +    }
      +  },
      +  "type": "object"
      +}
    • changedInput schema / required
      Previous value: -[
      -  "days"
      -]New value: +[
      +  "days",
      +  "confirm"
      +]
  2. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -{
      -  "type": "object"
      -}New value: +null
  3. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "type": "object"
      +}
  4. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Beyond the annotations (readOnlyHint false, destructiveHint false, openWorldHint true), the description adds 'Not medical advice' and the confirmation requirement, signaling a cautious, user-confirmed generation behavior. It doesn't elaborate on persistence or side effects, but this is adequate given the annotation support.

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 a single, front-loaded sentence that states the purpose first and packs essential cautions and requirements into minimal words. There is no redundancy or fluff.

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 tool has 6 parameters, a nested health object, no output schema, and important caveats (confirmation, medical disclaimer), yet the description stays at a high level. It doesn't describe what the meal plan draft includes, optionality of 'health,' or how 'days' and other parameters shape the output. This leaves the agent without enough context to invoke the tool confidently.

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

Parameters2/5

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

With 0% schema description coverage, the description must compensate but only mentions 'health constraints' and 'confirm:true.' It leaves 'days,' 'goal,' 'diet_type,' and 'daily_calories' unexplained, and the schema offers only types, not meanings. This under-explains a 6-parameter tool with a nested object.

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 starts with 'Draft a meal plan,' using a specific verb and resource that clearly distinguishes it from sibling tools like ai_parse_meal or ai_workout_plan. The added caveat 'Not medical advice' clarifies scope without muddling the core purpose.

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 gives explicit operational guidance: 'confirm:true required' and 'Pass health constraints so the draft can honour them.' It does not name alternatives or exclusion criteria, but the tool's name and purpose are self-evident compared to siblings, so the guidance is clear.

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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