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set_scene_launch_quantization

Destructive

Plan or apply a guarded per-scene clip-launch quantization override, changing only the selected scene while the global song setting stays intact.

Instructions

Plan or apply a guarded per-scene clip-launch quantization override from list_scenes. The global setting stays in song musical context; only the selected scene changes.

Input Schema

NameRequiredDescriptionDefault
dryRunNoFalse executes with token and hash.
sceneIdYesID from list_scenes.
planHashNoPlan hash.
confirmationTokenNoSingle-use plan token.
launchQuantizationYesLaunch quantization value or name from list_scenes.
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."
    • changedInput schema / properties / planHash / description
      Previous value: -"Hash returned by the matching dry run."New value: +"Plan hash."
    • changedInput schema / properties / sceneId / description
      Previous value: -"Stable scene ID returned by list_scenes."New value: +"ID from list_scenes."
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "additionalProperties": true,
      +  "type": "object"
      +}
  3. First observedv0.1.0

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare this a destructive, non-idempotent write, so the bar is lower. The description adds genuine context beyond them: 'guarded' implies a plan/token/hash confirmation workflow, and 'only the selected scene changes' bounds the blast radius of the destructive hint, which is exactly the kind of detail annotations cannot express.

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 tightly written sentences with no waste; the scope of the override is front-loaded and the contrast with the global setting follows 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?

An output schema exists, so return values need not be explained, and the guarded plan/apply flow is conveyed. Coverage is strong for a six-parameter mutation tool, though it could have stated the precondition that executing requires the plan token and hash (left entirely to the schema).

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 the schema already documents all six parameters including the token/hash guard fields and the 'value or name from list_scenes' semantics of launchQuantization. The description adds no syntax, format, or constraint detail beyond what the schema states, so the baseline 3 is appropriate.

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?

States a specific verb pair ('Plan or apply') and a precise resource ('per-scene clip-launch quantization override'), and explicitly distinguishes it from the global equivalent by noting the global setting lives in song musical context. An agent can separate this from set_song_musical_context or get_scene_launch_context without opening a schema.

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 plan/apply duality maps directly onto the dryRun parameter and the description signals the scope of impact ('only the selected scene changes'). It also names list_scenes as the source of the scene identifier. It stops short of explicit when-not-to-use guidance or naming the alternative tool for the global setting.

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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