cdk-mcp

request_refund

CDK Bot: submit a refund claim for a purchased product key. Must be within 30 days of purchase. Delivery failures (not_delivered) are auto-approved instantly. Key issues are verified within 24 hours.

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": {
      "order_id": "<order_id>",
      "wallet_address": "<wallet_address>",
      "reason": "<reason>"
    },
    "name": "request_refund"
  }
}

Input Schema

Name	Required	Description
`reason`	Yes	Reason: key_invalid (activation error), key_already_redeemed (used before delivery), wrong_product (wrong platform/region/edition), not_delivered (payment confirmed but no key received)
`order_id`	Yes	Order ID to refund
`wallet_address`	Yes	Buyer wallet address (must match the order)

Schema Changelog

Changes observed during successful MCP inspections.

First observedMay 28, 2026

TDQS

A4.2/5.0

Behavior4/5

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

Without annotations, the description carries full burden and discloses key behaviors: time constraint and two different resolution paths. It does not contradict any annotations (none provided). It could mention error handling or success responses, but the core behavior is clear.

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?

Two sentences: first states purpose and condition, second explains special cases. Front-loaded, no wasted words.

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?

Given 3 parameters, full schema coverage, and no output schema, the description provides essential context (time limit, resolution paths). It could describe return values or error handling, but is sufficient for an agent to understand the tool's behavior and constraints.

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 coverage is 100%, so the description does not need to add much. The description does not add parameter-level details beyond the schema's own descriptions (e.g., reason enum). Baseline 3 is appropriate.

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 'submit a refund claim for a purchased product key', which is a specific verb+resource. It distinguishes from sibling tools like confirm_purchase or check_order, as refunds are a distinct action.

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 provides clear conditions: 30-day limit, different handling for delivery failures (auto-approved) vs key issues (verified within 24 hours). This guides when to use and what to expect, though it lacks explicit when-not-to-use or alternative tool references.

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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