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freddy-jay

bring-mcp

by freddy-jay

complete_item

Mark an item as purchased on a Bring! shopping list, moving it to the recently-bought section. Specify item name, optional list, or UUID to target the correct entry.

Instructions

Tick an item off as purchased, moving it to the recently-bought section.

Args:
    item: Item name, e.g. "Milk".
    list: List name or uuid. Omit to use the BRING_LIST default.
    item_uuid: Optional item uuid from `get_list_items`, to pick one of
        several items sharing a name.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemYes
listNo
item_uuidNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A3.9/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It discloses the key state-changing effect (moving to recently-bought section), but does not mention reversibility, required permissions, or any side effects. The core effect is present, but additional behavioral context would be helpful for a mutation tool.

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 compact and front-loaded with the tool's purpose before the parameter details. Every sentence adds distinct value, and there is no filler or redundant content.

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?

The description, combined with the output schema and sibling context, is sufficient for a simple three-parameter mutation tool. It covers what the tool does, the main effect, and all parameter meanings. It slightly lacks explicit caveats about edge cases such as missing items or duplicate names without a uuid, but overall it is complete enough for correct invocation.

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

Parameters5/5

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

Schema description coverage is 0%, but the description fully documents all three parameters with practical guidance: item gets an example, list explains name-or-uuid and default behavior, and item_uuid explains its source and purpose. This fully compensates for the schema's lack of descriptive text.

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 states a specific action — ticking an item off as purchased — and the effect of moving it to the recently-bought section. This differentiates it from sibling operations like add_item and remove_item, though it could more explicitly say 'mark as completed'.

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 description gives implied usage context by explaining how to disambiguate duplicate item names with item_uuid from get_list_items, and how to omit list to use the default. However, it does not explicitly state when to use this tool instead of remove_item or add_item, leaving the comparison to inference.

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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