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DistroKid MCP Server and API by Cotlet

Get splits in DistroKid

distrokid_get_splits
Read-onlyIdempotent

Get splits in the user's own DistroKid account from ChatGPT, Claude or any AI agent. Returns how to do it in DistroKid step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's DistroKid Cloud Browser. DistroKid's official API: DistroKid has no public API, no developer docs and no official MCP server (checked 28 Oct 2026).

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "distrokid_get_splits"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint and non-destructive, and the description adds meaningful behavior beyond them: it 'opens nothing by itself' and only returns a procedural guide, which prevents an agent from assuming it fetches or mutates split data. It does not describe the shape or length of the returned steps, but the passive, no-side-effect guarantee is the key trait and is stated plainly.

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

Conciseness3/5

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

The core mechanism is front-loaded and clear, but 'from ChatGPT, Claude or any AI agent' is promotional filler, and the closing sentence about DistroKid's lack of an official API is justification boilerplate rather than instruction the agent needs to invoke the tool.

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 zero-parameter, read-only guidance tool with no output schema, the description covers what it returns, that it has no side effects, and what to do next. Only the absence of any indication of what the returned steps look like (or their size) keeps it from full marks.

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?

The tool takes zero parameters, so there is nothing for the description to disambiguate; the baseline for an empty schema applies. The description correctly implies the tool's only inputs are implicit (the user's own account context).

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 and resource ('Get splits in the user's own DistroKid account') and clarifies an important nuance: it returns step-by-step instructions rather than the split data itself. It is distinguishable from distrokid_set_splits only by inference from the name, so it stops short of a clean sibling disambiguation.

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?

Gives a clear workflow: call this to get the procedure, then execute it with the cotlet_browser_* tools in the user's DistroKid Cloud Browser. It does not explicitly say when to prefer this over distrokid_set_splits or cotlet_app_guide, and states no exclusions, so guidance is clear but not complete.

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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