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Paddle

by io.github.pipeworx-io
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Paddle List Adjustments

paddle_list_adjustments
Read-onlyIdempotent

Return bounded Paddle adjustments with refund, credit, or chargeback action, status, reason, transaction, customer, currency, and totals. Answers which revenue was refunded, credited, disputed, or reversed.

Example tool call

This call uses example arguments supplied in the tool’s input schema.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "status": "approved",
      "_apiKey": "pdl_sdbx_apikey_your-key",
      "per_page": 20,
      "_environment": "sandbox"
    },
    "name": "paddle_list_adjustments"
  }
}

Input Schema

NameRequiredDescriptionDefault
afterNoPagination cursor from meta.pagination.next
statusNo
_apiKeyYesPaddle Billing API key with read permission for the resource
per_pageNoResults per page, default 20 and maximum 30
customer_idNoPaddle customer ID beginning ctm_
_environmentNoPaddle environment; defaults to production
transaction_idNoPaddle transaction ID beginning txn_

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The word 'bounded' hints at result limiting, and the field list hints at payload shape, but pagination behavior, rate limits, and permission requirements are not elaborated beyond the schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two front-loaded sentences with no filler; the resource and its returned fields come first. The second sentence partially restates the first's action/status vocabulary (refund/credit/chargeback vs refunded/credited/disputed/reversed), a minor redundancy.

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?

With no output schema, the description usefully enumerates the returned field families, so an agent knows what comes back. It leaves pagination mechanics and ordering/unfiltered-vs-filtered behavior unstated, which slightly limits completeness.

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 86%, so the schema already documents status, cursor, per_page, apiKey, environment, and the ID prefixes. The description's field names describe returned data rather than adding parameter syntax or filtering semantics, so baseline 3 is appropriate.

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?

States a specific verb (Return) and resource (Paddle adjustments) plus the fields surfaced (action, status, reason, transaction, customer, currency, totals), making the resource distinguishable from the other paddle_list_* siblings. It does not explicitly contrast itself with paddle_list_transactions/customers, so it stops short of a 5.

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 line 'Answers which revenue was refunded, credited, disputed, or reversed' implies the question this tool serves, giving some usage context. However, there is no explicit when-to-use, no exclusion, and no pointer to the sibling list tools for other resources.

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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