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update_label_settings

Replace a household shopping list's label settings, specifying which labels and positions apply to list items.

Instructions

Update Label Settings — Households: Shopping Lists. Replace (full update) label setting. [PUT /api/households/shopping/lists/{item_id}/label-settings] Keywords: update_label_settings, update label settings, update label setting, replace label setting, edit label setting, modify label setting, save label setting, write label setting, label setting, label settings, households shopping lists, households, shopping, lists, update, replace, edit, modify, save, write, put, mealie.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYes
item_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.11

TDQS

C2.5/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It does add one useful behavioral fact — PUT semantics means full replacement, so omitted fields will be overwritten — which is genuine value. However, it says nothing about required permissions, whether the body replaces the entire label-setting set, or side effects on the parent shopping list.

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

Conciseness2/5

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

The first two sentences are appropriately front-loaded, but the trailing 'Keywords:' list is a long, repetitive tail of synonyms and path fragments ('update_label_settings, update label settings, ... label setting, label settings, ... mealie') that adds no selection value and bloats the definition.

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?

With no annotations, no output schema, and 0% schema description coverage on a two-parameter (one of them a nested array) mutation tool, the description is underspecified. An agent learns the resource and replacement semantics but not what a valid body looks like or what a successful call returns/changes.

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?

Schema description coverage is 0% for two parameters. The description never explains 'item_id' or the 'body' array of ShoppingListMultiPurposeLabelUpdate objects; notably it doesn't reveal that the body is an array (a bulk replace of label settings), which is the most important non-obvious aspect. The bracketed PUT URL duplicates the schema's item_id without adding syntax or meaning.

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 clear verb+resource: 'Update Label Settings' scoped to 'Households: Shopping Lists', plus 'Replace (full update)' clarifying that this is a full replacement rather than a partial edit. That distinguishes it from a hypothetical patch-style tool. It doesn't name a sibling tool directly, but the scope and HTTP verb make the target unambiguous.

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?

There is no guidance on when to use this versus alternatives (e.g. the multi-purpose-label tools, or any list-level settings update). The only 'context' is a keyword dump, which restates the name rather than telling an agent when this tool is the right choice.

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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