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Manage presets

manage_presets

Save, recall, list, or delete snapshots of COMP parameter values to manage live-performance presets.

Instructions

Store, recall, list, or delete named snapshots of a COMP's parameter values — the live-performance preset system. Pair with create_control_panel: snapshot the knob positions and jump between looks. Snapshots are saved in the COMP's storage so they persist with the project.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYesstore a snapshot, recall one, list all, or delete one.
comp_pathNoCOMP whose parameter values the preset captures — usually a control-panel container./project1
nameNoPreset name (required for store/recall/delete).
paramsNoSpecific custom-parameter names to capture/restore. Defaults to every custom parameter on the COMP.
Behavior3/5

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

Annotations (readOnlyHint=false, destructiveHint=false, openWorldHint=true) already disclose mutation and non-destructive nature. The description adds context about persistence in COMP storage and pairing with create_control_panel, but does not elaborate on delete behavior or side effects.

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, each earning its place. The first sentence summarizes the tool's purpose and action, and the second provides usage guidance and persistence context. No wasted words.

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?

For a tool with 4 parameters and no output schema, the description explains the core functionality and usage context but does not describe return values (e.g., list returns preset names) or error conditions. This leaves some gaps for an AI agent.

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 baseline is 3. The description does not add meaning beyond the schema descriptions for action, comp_path, name, and params. It reinforces that name is required for store/recall/delete, which is not enforced by schema but is helpful.

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 the verb (store, recall, list, delete) and the resource (named snapshots of COMP parameter values). It distinguishes from siblings like sync_presets_vault by mentioning the live-performance preset system and pairing with create_control_panel.

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 context for when to use the tool (live-performance preset system) and recommends pairing with create_control_panel. However, it does not explicitly exclude alternatives or state when not to use it.

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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