Skip to main content
Glama

remove_shopping_list_item

Remove an item from a shopping list using its item ID and list ID. Keeps shopping lists accurate by deleting unwanted entries.

Instructions

Remove an item from a shopping list.

Args: list_id: Shopping list ID (for context) item_id: Item ID to remove (from get_shopping_list)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
item_idYes
list_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.4/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It only states 'Remove an item,' implying a destructive action, but does not disclose permanence, side effects, permissions required, or behavior when the item does not exist. This is a significant gap 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 core purpose. The Args block efficiently documents both parameters without unnecessary prose. Every sentence earns its place.

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

Completeness3/5

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

The tool is simple and has an output schema, so return values need no explanation. However, with no annotations, the description lacks critical behavioral context such as irreversibility or prerequisites. It is adequate for a straightforward removal but leaves gaps an agent might need to infer.

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 0%, but the description compensates by explaining each parameter: list_id is 'for context' and item_id is the target, sourced from get_shopping_list. This adds meaningful semantics beyond the bare string type definitions, though 'for context' is somewhat vague.

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 states a specific verb and resource: 'Remove an item from a shopping list.' This clearly identifies the operation and distinguishes it from sibling tools like delete_shopping_list (removing a whole list) and add_shopping_list_item (adding an item), though it does not explicitly name those alternatives.

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 provides indirect usage guidance by noting item_id comes 'from get_shopping_list' and that list_id is 'for context,' implying the tool is used after fetching a shopping list. However, it does not explicitly state when to use this tool over alternatives or provide any exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.