ucp-mcp-server

by nguthrie

Overview Schema Source Related Servers Discussions Admin

Python

Remote

ucp_checkout_update

Apply discount codes to an existing checkout session and retrieve updated totals, discounts applied, and status.

Instructions

Update an existing checkout session (e.g., apply discount codes).

Args: merchant_url: The base URL of the UCP-enabled merchant checkout_id: The ID of the checkout session to update discount_codes: List of discount/promo codes to apply

Returns: Dictionary containing updated checkout information: - checkout_id: The checkout session ID - status: Current status - total: Updated total amount - discount_applied: Amount discounted - discounts: Details of applied discounts

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "merchant_url": "<merchant_url>",
      "checkout_id": "<checkout_id>"
    },
    "name": "ucp_checkout_update"
  }
}

Input Schema

Name	Required	Description	Default
`merchant_url`	Yes
`checkout_id`	Yes
`discount_codes`	No

Output Schema

Name	Required	Description	Default
No arguments

Schema Changelog

Changes observed during successful MCP inspections.

First observedv0.2.0May 28, 2026

TDQS

A3.8/5.0

Behavior2/5

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

No annotations are provided, so the description must fully disclose behavior. It mentions updating and applying discount codes but fails to clarify whether the tool only updates discount codes (as suggested by parameters) or other fields, nor does it address side effects, idempotency, or authorization.

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 concise with a clear summary, args section, and returns section. Every sentence serves a purpose, and the structure is easy to parse.

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 includes a detailed return structure in the missing output schema. However, it omits error conditions, prerequisites, or limitations. Given the output coverage, it is fairly complete.

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?

With 0% schema description coverage, the description adds meaning to all three parameters: merchant_url (base URL), checkout_id (ID), and discount_codes (list of codes). This compensates for the schema's lack of descriptions.

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 clearly states the tool updates an existing checkout session, with an example of applying discount codes. It differentiates from sibling tools like create, complete, and set_fulfillment, which handle distinct stages.

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 implies usage for modifying a session (e.g., applying discount codes) but does not explicitly contrast with siblings or provide when-not-to-use guidance. No exclusions or alternatives are mentioned.

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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