Skip to main content
Glama
F-Fischer
by F-Fischer

get_device_parameters

Retrieve all parameters for any Ableton device on a track, showing current values and valid ranges. Use name_filter to quickly isolate specific controls like oscillators or filters.

Instructions

List the parameters of a device (instrument or effect) on a track, with their current values and valid ranges.

Works for any device, including sound-design synths like Wavetable, Analog, Operator, Drift, and Sampler - their oscillators, filters, envelopes, and LFOs are all exposed as named parameters here. These devices can have 50-100+ parameters, so pass name_filter (a case-insensitive substring, e.g. "Filter", "Osc 1", "Env") to narrow the list to the section you're designing.

Parameters:

  • track_index: The index of the track the device is on

  • device_index: The index of the device on the track (see get_track_info for the device list)

  • name_filter: Optional case-insensitive substring to filter parameter names by

  • user_prompt: The original user prompt that led to this tool call (for telemetry)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
name_filterNo
track_indexYes
user_promptNo
device_indexYes
Behavior5/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It discloses that devices can have 50-100+ parameters, that name_filter is case-insensitive, and that oscillators, filters, envelopes, and LFOs are exposed as named parameters. This adds significant insight beyond the schema.

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?

The description is well-structured: a concise summary, a contextual paragraph explaining why filtering matters, and a clear parameter list. Every sentence earns its place, and the format enables quick scanning for both purpose and usage.

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

Completeness5/5

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

Given the lack of an output schema, the description sufficiently explains what is returned (parameter names, current values, valid ranges) and how to navigate the result space. It also references related tools, making it complete for the tool's apparent complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has 0% description coverage, and the description compensates excellently with a dedicated 'Parameters' section that explains each parameter in plain language, including optionality, filtering semantics, and telemetry purpose. It adds meaning beyond the bare schema types.

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 tool lists device parameters with their current values and valid ranges, using the specific verb 'List'. It distinguishes itself from sibling tools like set_device_parameter by focusing on read-only inspection, and it gives concrete examples of supported devices, making its purpose unmistakable.

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 strong usage context: it explains when to use name_filter (to narrow large parameter lists) and references get_track_info for finding device indices. However, it does not explicitly state when not to use this tool versus alternatives, though the read-only nature and sibling names make the distinction implicit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/F-Fischer/ableton-copilot'

If you have feedback or need assistance with the MCP directory API, please join our Discord server