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Pantrist

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check_shopping_item

Update a shopping list item's status according to your list settings: mark as bought, delete, or transfer to pantry.

Instructions

Check off a shopping-list item. The list's settings decide the actual effect: markDone flags the item as bought (stays on the list, struck through), removeOnCheck deletes it, and moveOnCheck transfers it into the pantry. Mutates state and returns the updated row. To unconditionally remove regardless of list settings use delete_shopping_item; for stock changes on a pantry item use reduce_pantry_amount.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemIdYesItem uuid (from `list_shopping_items[].uuid` or `add_shopping_item`).
listIdNoList UUID — call `list_lists` to discover one. Optional only in stdio mode (falls back to the PANTRIST_LIST_ID env var); required explicitly in HTTP mode.
Behavior4/5

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

No annotations provided, so description carries full burden. Discloses mutation, return type ('returns the updated row'), and three possible behaviors (markDone, removeOnCheck, moveOnCheck) based on list settings. Could mention idempotency or error cases, but overall sufficiently transparent.

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?

Four sentences: purpose, effects, mutation/return, alternatives. Front-loaded and efficient with no unnecessary words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given complexity (3 behaviors, mutation, no output schema), description covers key aspects: behavior variants, alternatives, return type. Could mention error handling or prerequisites, but remains adequate for selection and invocation.

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 100%, baseline 3. Description adds meaning beyond schema by specifying where to get itemId ('from list_shopping_items[].uuid or add_shopping_item') and explaining listId optionality and fallback to env var. Adds useful context.

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?

Describes checking off a shopping-list item with specific verb and resource. Distinguishes from siblings delete_shopping_item and reduce_pantry_amount by explaining when to use each.

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

Usage Guidelines5/5

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

Explicitly states when to use this tool vs alternatives: 'To unconditionally remove regardless of list settings use delete_shopping_item; for stock changes on a pantry item use reduce_pantry_amount.' Also explains conditional behavior based on list settings.

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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