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Make variations

make_variations

Create free round-robin variations (pitch/EQ) of an existing sound so repeated sounds don't feel machine-gunned. Costs no credits.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNo
formatNowav16 = 48 kHz/16-bit (default, fine for every engine), wav24 = 48 kHz/24-bit master, wav16-44k = 44.1 kHz/16-bit, wav16-22k-mono = smallwav16
sound_idYesId of an existing sound (snd_…)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It usefully discloses a non-obvious behavioral trait — the operation is free and consumes no credits. However it omits whether the source sound is modified or preserved, how variations are returned/identified, and the count ceiling, all of which matter for a creation tool.

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 tight sentences, front-loaded with the action and resource; the second clause earns its place by justifying the tool's existence and cost profile. No filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema and no annotations, so the description should describe what comes back (new sound ids? in-place replacement?) and the practical limits. It covers cost but leaves the return shape and effect on the source sound undefined, which is a real gap for an asset-creating tool.

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 67%: format's enum and sound_id are documented in the schema, while count carries only bounds/default. The description adds the nature of the variations (pitch/EQ), which is meaningful context, but says nothing about count or format selection, so it does not fully compensate for the coverage gap.

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?

Specific verb+resource: 'Create free round-robin variations (pitch/EQ) of an existing sound'. The phrase 'of an existing sound' cleanly separates it from generate_sound_effect, which produces new sounds, so an agent can differentiate it without opening a schema.

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 use case — 'so repeated sounds don't feel machine-gunned' — which tells the agent when this tool applies. It does not name alternatives (generate_sound_effect) or state exclusions, so it stops short of a full when/when-not routing rule.

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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