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Glama
Ardour Ultra MCP
by Elias02345

set_send_gain

Idempotent

Adjust an Ardour track send level in decibels using track ID, send ID, and gain value, with optional dry-run and revision checks to validate mixer edits.

Instructions

Set send level in dB.

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": {
      "request": "<request>"
    },
    "name": "set_send_gain"
  }
}

Input Schema

NameRequiredDescriptionDefault
requestYes

Output Schema

NameRequiredDescriptionDefault
dataNo
errorNo
successNo
warningsNo
revision_afterNo
changed_objectsNo
revision_beforeNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.7/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=false, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered structurally. The description adds nothing beyond the annotations — it does not explain the dry_run flag, the confirm_delete flag (whose presence on a 'set gain' tool is surprising), the -193 to +6 dB clamp, or expected_revision conflict handling.

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?

The single sentence is front-loaded with verb and resource and contains no filler. Its brevity is under-specification rather than verbosity, which is penalized elsewhere, but the sentence itself is well-formed and waste-free.

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?

For a mutation tool with a nested request object, a revision guard, a dry-run mode and a confirm flag, six words are far from sufficient — an output schema exists so return values need no explanation, but the description leaves the agent unable to judge scope or the meaning of the safety-related parameters.

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%, so the description must carry the parameter burden, but it only supplies the dB unit for gain_db. Six nested fields (track_id, send_id, gain_db, dry_run, confirm_delete, expected_revision) are undocumented — particularly confirm_delete, which an agent could easily misread as implying this tool deletes something.

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 ('Set') and resource ('send level') plus the unit (dB), so the agent knows this writes a send's gain value. It gives no contrast with adjacent siblings such as set_track_gain, set_region_gain, or create_send, so the agent must infer the distinction from the names alone.

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?

There is no when-to-use guidance at all: no statement of prerequisites (must the send already exist?), no mention of the alternative gain-setting tools, and no note about when to prefer dry_run over applying the change. The agent is left to guess from the tool name.

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