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Remove layer

remove_layer
Destructive

Delete a video, image, text, or shape LEAF layer. Errors on a group. (dissolve it with ungroup_layers instead) and on a pinned layer such as the canvas backdrop. Deleting a video layer also takes everything welded to that clip: its welded audio overlay(s) and its welded caption lines, both of which derive their timing from the clip's trim and have no meaning without it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
elementIdYesvideo.<id>, image.<id>, text.<id>, or shapes.<id>.
projectIdYesOpaque project id (a v4 UUID, from list_projects/create_project). Selects which existing project this call mutates.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYesWhether the call succeeded.
dataNoThe payload, shaped by the tool.
noteNoWhat to do next when not ready.
errorNoWhy it failed.
statusNoFor cache-backed readers: whether the answer was ready.
editorUrlNoOpens this project in the editor.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • removedInput schema / properties / anonymousToken
      Removed value: -{
      -  "description": "The token create_anonymous_account returned. This connection has no Morpha key, so every call carries it.",
      -  "type": "string"
      -}
    • changedInput schema / required
      Previous value: -[
      -  "elementId",
      -  "projectId",
      -  "anonymousToken"
      -]New value: +[
      +  "elementId",
      +  "projectId"
      +]
  2. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "description": "The result envelope every Morpha tool returns.",
      +  "properties": {
      +    "data": {
      +      "description": "The payload, shaped by the tool.",
      +      "type": [
      +        "object",
      +        "array",
      +        "string",
      +        "number",
      +        "boolean",
      +        "null"
      +      ]
      +    },
      +    "editorUrl": {
      +      "description": "Opens this project in the editor.",
      +      "type": "string"
      +    },
      +    "error": {
      +      "description": "Why it failed.",
      +      "type": "string"
      +    },
      +    "note": {
      +      "description": "What to do next when not ready.",
      +      "type": "string"
      +    },
      +    "ok": {
      +      "description": "Whether the call succeeded.",
      +      "type": "boolean"
      +    },
      +    "status": {
      +      "description": "For cache-backed readers: whether the answer was ready.",
      +      "enum": [
      +        "ready",
      +        "not-ready"
      +      ],
      +      "type": "string"
      +    }
      +  },
      +  "required": [
      +    "ok"
      +  ],
      +  "type": "object"
      +}
  3. Changed2 schema fields changed
    • addedInput schema / properties / anonymousToken
      Added value: +{
      +  "description": "The token create_anonymous_account returned. This connection has no Morpha key, so every call carries it.",
      +  "type": "string"
      +}
    • changedInput schema / required
      Previous value: -[
      -  "elementId",
      -  "projectId"
      -]New value: +[
      +  "elementId",
      +  "projectId",
      +  "anonymousToken"
      +]
  4. First observed

TDQS

A4.9/5.0
Behavior5/5

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

Beyond destructiveHint=true, the description discloses a non-obvious cascade effect: deleting a video layer also removes its welded audio overlays and caption lines. It also surfaces error conditions on groups and pinned layers, giving the agent an accurate model of side effects.

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?

Three sentences carry only decision-relevant information: what is deleted, what fails, and what collateral damage occurs. No filler or schema repetition.

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

Completeness5/5

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

For a two-parameter destructive tool with an output schema, the description covers the main decision factors: valid targets, invalid targets, and consequential deletions. An agent has enough information to call it correctly and predict outcomes.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3, but the description adds meaning for elementId by specifying accepted leaf target types and stating that group.<id> is not a valid input. This goes beyond the schema's type examples.

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?

The description opens with a specific verb and resource: 'Delete a video, image, text, or shape LEAF layer.' It immediately distinguishes non-leaf targets by noting errors on group.<id>, which separates it from grouping tools and other layer operations.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It gives explicit when-not-to-use guidance: 'Errors on a group.<id> (dissolve it with ungroup_layers instead)' and mentions pinned layers such as the canvas backdrop. This lets the agent route to ungroup_layers when appropriate.

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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