Skip to main content
Glama

remove_from_cart

Remove specific items from your DoorDash cart using cart and item IDs to manage your order before checkout.

Instructions

Remove an item from your DoorDash cart

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cartIdYesCart ID
itemIdYesOrder item ID to remove
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It states the action ('remove') which implies a destructive mutation, but provides no information about permissions required, whether changes are reversible, error conditions, or what happens to the cart after removal. For a mutation tool with zero annotation coverage, this leaves significant behavioral questions unanswered.

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 a single, efficient sentence that states the core purpose without any wasted words. It's appropriately sized for a simple tool and front-loads the essential information. Every word earns its place in this concise formulation.

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?

For a destructive mutation tool with no annotations and no output schema, the description is insufficiently complete. It doesn't explain what the tool returns (success confirmation? updated cart?), error conditions, or behavioral implications. Given the complexity of cart manipulation and the lack of structured safety information, the description should provide more operational context.

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

Parameters3/5

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

Schema description coverage is 100%, with both parameters clearly documented in the schema. The description doesn't add any parameter-specific information beyond what's already in the schema. According to scoring rules, when schema coverage is high (>80%), the baseline is 3 even with no param info in the description, which applies here.

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 the action ('remove') and target resource ('item from your DoorDash cart'), making the purpose immediately understandable. It doesn't explicitly distinguish from sibling tools like 'add_to_cart' or 'list_carts', but the verb 'remove' provides inherent differentiation. This is clear but lacks explicit sibling comparison.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (like needing a cart ID from 'list_carts'), when removal is appropriate versus modifying quantities, or what happens if the item doesn't exist. Without any usage context, the agent must infer everything from the tool name alone.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/SpunkySarb/doordash-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server