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create_scene

Create or plan an Ableton Live Session scene at a specific index, or append it. Validates neighboring scenes and confirms the new scene in one undo step.

Instructions

Plan or create a Session scene at an exact insertion index. Native execution rechecks the neighboring scene records and verifies the new scene in one Live undo step.

Input Schema

NameRequiredDescriptionDefault
nameYesScene name.
indexNoZero-based insertion index; omit to append.
dryRunNoFalse executes with token and hash.
planHashNoPlan hash.
confirmationTokenNoSingle-use plan token.
expectedStateVersionYesObserved stateVersion.

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv0.3.1
    • removedOutput schema / additionalProperties
      Removed value: -true
    • addedOutput schema / anyOf
      Added value: +[
      +  {
      +    "oneOf": [
      +      {
      +        "properties": {
      +          "confirmation": {
      +            "properties": {
      +              "expiresAt": {
      +                "type": "number"
      +              },
      +              "planHash": {
      +                "pattern": "^[a-f0-9]{64}$",
      +                "type": "string"
      +              },
      +              "token": {
      +                "minLength": 1,
      +                "type": "string"
      +              }
      +            },
      +            "required": [
      +              "token",
      +              "planHash",
      +              "expiresAt"
      +            ],
      +            "type": "object"
      +          },
      +          "dryRun": {
      +            "const": true
      +          },
      +          "plan": {
      +            "type": "object"
      +          }
      +        },
      +        "required": [
      +          "dryRun",
      +          "plan",
      +          "confirmation"
      +        ],
      +        "type": "object"
      +      },
      +      {
      +        "properties": {
      +          "dryRun": {
      +            "const": false
      +          },
      +          "operationOutcome": {
      +            "properties": {
      +              "evidence": {
      +                "items": {
      +                  "type": "string"
      +                },
      +                "type": "array"
      +              },
      +              "reason": {
      +                "type": "string"
      +              },
      +              "schemaVersion": {
      +                "const": 1
      +              },
      +              "status": {
      +                "enum": [
      +                  "applied",
      +                  "outcome_unknown",
      +                  "postconditions_failed",
      +                  "pending_postconditions",
      +                  "pending_user_action"
      +                ]
      +              }
      +            },
      +            "required": [
      +              "schemaVersion",
      +              "status",
      +              "reason",
      +              "evidence"
      +            ],
      +            "type": "object"
      +          }
      +        },
      +        "required": [
      +          "dryRun",
      +          "operationOutcome"
      +        ],
      +        "type": "object"
      +      }
      +    ],
      +    "properties": {
      +      "dryRun": {
      +        "type": "boolean"
      +      }
      +    },
      +    "required": [
      +      "dryRun"
      +    ],
      +    "type": "object"
      +  },
      +  {
      +    "properties": {
      +      "error": {
      +        "properties": {
      +          "message": {
      +            "type": "string"
      +          },
      +          "outcome": {
      +            "enum": [
      +              "unknown",
      +              "not_executed"
      +            ]
      +          }
      +        },
      +        "required": [
      +          "message",
      +          "outcome"
      +        ],
      +        "type": "object"
      +      }
      +    },
      +    "required": [
      +      "error"
      +    ],
      +    "type": "object"
      +  }
      +]
  2. Changed6 schema fields changedv0.3.0
    • changedInput schema / properties / confirmationToken / description
      Previous value: -"Short-lived, single-use token returned by the matching dry run."New value: +"Single-use plan token."
    • changedInput schema / properties / dryRun / description
      Previous value: -"Omit or true to return a plan; false requires a valid confirmationToken."New value: +"False executes with token and hash."
    • changedInput schema / properties / expectedStateVersion / description
      Previous value: -"Exact stateVersion observed immediately before planning."New value: +"Observed stateVersion."
    • addedInput schema / properties / index / description
      Added value: +"Zero-based insertion index; omit to append."
    • changedInput schema / properties / planHash / description
      Previous value: -"Hash returned by the matching dry run."New value: +"Plan hash."
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "additionalProperties": true,
      +  "type": "object"
      +}
  3. First observedv0.1.0

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already establish that this is a non-read-only, non-destructive mutation. The description adds meaningful behavioral context beyond annotations by explaining that native execution rechecks neighboring scene records and verifies the new scene within one Live undo step.

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?

Two sentences, front-loaded with purpose and followed by relevant execution behavior. No sentence is wasted, and the key insertion-index concept is stated immediately.

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 tool has six parameters, full schema coverage, annotations, and an output schema, so the description need not cover return values. It provides the important behavioral context of verification and undo atomicity, though it could more explicitly explain the plan-then-execute token flow.

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 100%, so every parameter is already documented in the schema. The description mentions the exact insertion index but does not add syntax or meaning beyond the schema's own parameter descriptions.

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?

The description uses a specific verb and resource: it creates or plans a Session scene at an insertion index. It is clear what the tool does, though it does not explicitly differentiate itself from siblings such as launch_scene or list_scenes.

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 phrase 'Plan or create' implies two usage modes, but the description does not explicitly state when to use planning versus execution or when to choose this tool over alternatives. The schema supplies the dryRun/token details, leaving usage guidance only implied.

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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