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Prepare personalized food profile update

prepare_update_food_profile

Stage a personalized food profile update covering household composition, cooking preferences, goals, cuisines, dislikes, and default servings.

Instructions

Stage an update to personalized household composition, cooking preferences, goals, cuisines, dislikes, and default servings.

Input Schema

NameRequiredDescriptionDefault
adultsNo
childrenNo
primary_goalNo
cooking_skillNo
disliked_foodsNo
household_sizeNo
default_servingsNo
budget_preferenceNo
preferred_cuisinesNo
dietary_preferencesNo
typical_weeknight_minutesNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already establish that this is a non-read-only, non-destructive, non-idempotent mutation. The description adds useful context by saying it "stages" an update, implying a pending-action workflow, but it does not explain confirmation requirements, partial update behavior, or what happens to existing profile data.

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?

A single front-loaded sentence with no redundant or filler content. Every phrase contributes to identifying the staged resource and the categories of fields involved.

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 11 undocumented parameters, no output schema, and a staging workflow, the description is too thin. It does not explain the confirmation lifecycle, partial-update semantics, or how this differs from adjacent profile tools, so an agent would need to infer important behavior.

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 0% across 11 parameters, so the description must compensate. It maps several parameters to categories (household composition, cooking preferences, goals, cuisines, dislikes, default servings) but omits dietary_preferences and provides no enum meanings, limits, optionality, or format guidance.

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?

States a specific verb ("Stage an update") and resource ("personalized food profile"), then enumerates major categories of fields such as household composition, goals, cuisines, dislikes, and servings. It is clear overall, but it does not differentiate itself from close siblings like prepare_update_profile or prepare_merge_food_preferences.

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?

The word "Stage" implies this is a preparatory mutation rather than a direct update, but the description gives no explicit when-to-use guidance, no comparison to prepare_update_profile or prepare_merge_food_preferences, and no mention of confirmation, prerequisites, or whether all fields are optional.

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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