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LiveSession MCP
by Uri-Rosen

load_rack

Load a saved rack or preset from the User Library onto a specified track by fuzzy name to place sounds without manual browsing.

Instructions

Load a saved rack/preset from the User Library onto a track by (fuzzy) name.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "name": "<name>"
    },
    "name": "load_rack"
  }
}

Input Schema

NameRequiredDescriptionDefault
nameYes
track_typeNotrack
track_indexNo

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.0.0

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare this is a non-readOnly, non-destructive, closed-world mutation, so the safety profile is covered. The description adds one genuine behavioral detail — name matching is fuzzy, implying approximate resolution — but says nothing about what happens to devices already on the target track, how ambiguity between multiple matches is resolved, or what happens when nothing matches.

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?

A single efficient sentence with the action and source front-loaded and no wasted wording. It is tight, though the brevity contributes to the missing parameter explanation rather than purely serving clarity.

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

Completeness2/5

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

An output schema exists, so return values need not be described, but for a mutation tool with three undocumented parameters the description is too thin. Nothing explains track targeting or the effect on the existing device chain, which is exactly the ambiguity an agent needs resolved before invoking it.

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

Parameters2/5

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

Schema description coverage is 0% for three parameters, so the description must carry the semantics and it largely does not. It clarifies only that 'name' is a fuzzy rack/preset name; track_type and track_index (with their defaults of 'track' and 0) are never explained, leaving an agent to guess whether index is 0-based, what track types are valid, or which track is targeted by default.

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 and resource ('Load a saved rack/preset from the User Library onto a track'), which is enough to distinguish it from list_racks or file-oriented tools. It does not explicitly contrast with close siblings like load_plugin or load_instrument_or_effect, so an agent must infer which loader applies.

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 no when-to-use guidance, prerequisites, or named alternatives; there is no statement about when to prefer load_rack over load_plugin, insert_device, or load_drum_kit. Only the implicit hint that source is the User Library and matching is fuzzy.

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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