Skip to main content
Glama

Live Bus

live_bus

Create or modify a shared send bus that routes many tracks into one effect chain, set its volume, copy FX, or remove the bus and all sends.

Instructions

Create or change a send bus (a shared effect such as one hall for many tracks; tracks feed it with live_track(sends={bus: dB})). fx: its chain (list, or 'bus:' / 'track:' to copy from project.json); reverbs and delays on a bus output only the wet signal unless given 'dry'. A replaced chain's tail rings out. remove=True deletes it and the sends into it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
atNonow
fxNo
busYes
removeNo
projectYes
volume_dbNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.3.0

TDQS

A3.6/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and delivers real behavioral context: wet-only signal behavior for reverb/delay unless 'dry' is given, that a replaced chain's tail rings out, and that remove=True destroys both the bus and the sends into it. It does not mention permissions, rate limits, or throttling, and avoids return-format detail (an output schema exists), so it is strong but not exhaustive.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loads the core purpose before diving into fx and remove semantics, and every sentence carries information. It is dense and parenthetical-heavy, but not padded.

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 mutation tool with no annotations, an output schema (so return values need not be described), and 0% schema coverage, the description covers the destructive semantics and fx grammar but leaves 'at' and 'volume_db' unaddressed. Adequate but with a clear gap in the parameter surface.

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 0%, so the description must compensate across 6 params. It explains fx thoroughly (list, or 'bus:<name>'/'track:<name>' copy syntax from project.json) and clarifies remove=True, but says nothing about 'at' (default 'now') or 'volume_db', leaving two parameters entirely undocumented in both schema and text.

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?

States a specific verb+resource ('Create or change a send bus') and immediately defines the concept with a concrete example ('one hall for many tracks'). An agent can distinguish it from generic siblings like bus_add and fx_add. It stops short of explicitly contrasting itself with the similarly-named bus_add sibling, so 5 is not warranted.

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 description shows the intended integration path ('tracks feed it with live_track(sends={bus: dB})') and notes remove=True deletes it, which implies usage. However, it never states when to prefer this over the sibling bus_add or when not to use it, leaving the routing decision to inference.

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