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recall_device_parameter_snapshot

Restores a captured parameter snapshot to a matching Ableton device after validating device class, ordered parameter layout, and bounds; use dry-run to review changes before confirming execution.

Instructions

Guarded recall of parameter JSON onto a matching native device class and exact ordered parameter layout. Supports ordinary, Return, and Main tracks; rejects incompatible bounds/choices and disabled changed controls. Does not restore hidden state.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dryRunNoOmit or true to return a plan; false requires a valid confirmationToken.
trackIdYesStable device-owner ID: track-N from list_tracks, return-N from get_set_mixer, or master.
deviceIdYesStable device ID returned by list_devices.
planHashNoHash returned by the matching dry run.
snapshotYes
confirmationTokenNoShort-lived, single-use token returned by the matching dry run.
expectedStateVersionYesExact stateVersion observed immediately before planning.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.8/5.0
Behavior4/5

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

The description adds meaningful behavior beyond the annotations: it says recall is 'guarded', rejects incompatible bounds/choices and disabled changed controls, and does not restore hidden state. This is useful safety and limitation context that the readOnly/destructive hints do not capture.

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?

Three sentences, no filler. The core purpose and key constraints are front-loaded, with the hidden-state limitation placed last. Every sentence earns its place.

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?

The schema carries the dry-run/confirmation-token workflow and snapshot structure in detail, and the description supplies the critical matching and rejection constraints. A small gap is that the description never names the companion capture tool or explains the dry-run flow itself, but overall it is sufficiently complete for a well-schematized 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 description coverage is 86%, so the schema already documents most parameters well. The description adds high-level semantics about exact ordered layout and matching device class, but it does not need to repeat individual parameter details. Baseline 3 is appropriate.

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 uses a specific verb ('recall') and resource ('parameter JSON onto a matching native device class and exact ordered parameter layout'), and it distinguishes itself from sibling chain/track snapshot tools. The scope is unambiguous: restore device parameters, not hidden state or chain state.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives context about supported track types and validation behavior, but it never states when to use this tool versus alternatives like capture_device_parameter_snapshot, set_device_parameters, recall_device_chain_snapshot, or load_track_state_snapshot. No explicit when-to-use or when-not-to-use guidance is provided.

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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