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Crystalize

Crystalize

by Peyton-C
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

stop_mix

Stops the current mix while leaving both decks playing their current tracks, so you can end a blend without interrupting individual deck playback.

Instructions

Stop the mix playing. The decks keep playing what they have.

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": "stop_mix"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.7/5.0
Behavior3/5

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

With no annotations, the description carries the full burden and does disclose the key behavioral nuance: stopping the mix is not the same as stopping deck playback. It is silent on whether the mix can be resumed with play_mix, what happens if no mix is playing, and whether the mix state/position is preserved.

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 short sentences, zero waste, with the primary effect front-loaded and the important caveat second. Nothing here could be cut without losing meaning.

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 tool with no output schema, this is nearly sufficient: it states the action and the crucial non-effect on deck playback. The remaining gap is resume/error semantics (e.g., behavior with no active mix), which is minor but would help an agent reason about follow-up calls.

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 per the baseline this scores 4. The description correctly introduces no parameter expectations that would confuse an agent.

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?

Specific verb plus resource ('Stop the mix playing') with no ambiguity about what is being halted, and the second sentence distinguishes this from a full playback stop by noting the decks continue. It never names a sibling tool explicitly, so sibling differentiation is implicit rather than stated.

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 behavior described (mix stops, decks keep playing) implies the scenario where this tool is appropriate versus a full stop, mute_deck, or eject. However, no explicit when-to-use or when-not-to-use condition is given, and no alternative tool is named.

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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