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aminm1364

mcp-de-picnic

by aminm1364

remove_from_cart

Remove a specified quantity of a product from your Picnic shopping cart using its product ID, and receive the updated cart contents.

Instructions

Remove count units of a product from the cart (product_id from get_cart/search_products).

Returns the updated cart, same shape as get_cart().

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNo
product_idYes

Schema Changelog

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

  1. First observedv0.1.0

TDQS

A4.2/5.0
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 does disclose the mutation (removing units) and the return behavior (updated cart shaped like get_cart()). However, it does not mention edge cases such as what happens when count exceeds the cart quantity or when the product is absent.

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 brief, front-loaded with the primary action, and the second sentence adds useful return-shape information without fluff. Every sentence earns its place.

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?

For a simple two-parameter cart operation, the description provides the essential context: what to remove, where product_id comes from, and the return shape. It lacks edge-case/error details, but the tool is low-complexity and siblings provide surrounding context.

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%, so the description must add meaning to both parameters. It does clarify that count represents units to remove and that product_id comes from get_cart/search_products, adding value beyond the schema's type/default information. It could also specify that count should be a positive integer.

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?

The description states a specific action ('Remove count units of a product from the cart') and identifies the resource. It also tells the agent where to obtain a valid product_id, which separates it from sibling tools like add_to_cart and clear_cart.

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

Usage Guidelines4/5

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

The description gives clear context for use by pointing to get_cart/search_products as the source for product_id and explaining the return shape. It does not explicitly mention when not to use it or compare it against clear_cart/add_to_cart, but the intended usage is evident.

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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