Skip to main content
Glama

Morpha

by ai.morphareels
OverviewDiscussionsAdmin

Set video layer muted

set_video_layer_muted
Destructive

Mute or unmute a video layer's baked audio (silenced in both preview and export). The processing pipeline's audio-split step sets this true after demuxing the clip's audio into a standalone overlay track (NLE-style linked A/V), so the source audio doesn't double with the overlay. Pass muted:false to restore the baked audio.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
mutedYestrue silences the layer's baked audio; false restores it.
elementIdYesVideo layer id, video.<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",
-  "muted",
-  "projectId",
-  "anonymousToken"
-]New value: +[
+  "elementId",
+  "muted",
+  "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",
-  "muted",
-  "projectId"
-]New value: +[
+  "elementId",
+  "muted",
+  "projectId",
+  "anonymousToken"
+]
  4. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already mark destructiveHint=true and readOnlyHint=false, so the safety profile is covered. The description adds meaningful context: it explains the pipeline behavior (audio demuxing) and explicitly states the effect on preview and export, which goes beyond the annotations. No contradiction with annotations.

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 description is three sentences, front-loading the core action and then providing pipeline context. It is concise enough while adding valuable background. Each sentence contributes to understanding the tool's behavior, with no wasted words.

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?

For a simple setter with three required parameters and a destructive annotation, the description covers the purpose, the pipeline reason, and the effect on preview/export. An output schema exists (not shown but noted), so return values are covered. Nothing critical is missing for an agent to call this correctly.

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% for all three parameters, so the schema already documents each parameter's meaning. The description does not add significant parameter-specific semantics 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.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb (mute/unmute) and the resource (video layer's baked audio), and specifies the effect (silenced in both preview and export). It does not explicitly contrast with sibling tools, but the purpose is unambiguous and specific enough to distinguish it from other setters like set_video_layer_visible or set_video_clip.

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 description provides clear context on when this tool is relevant: it explains the audio-split pipeline step that sets muted=true and instructs to pass muted:false to restore audio. It does not mention alternative tools or exclusions, but the context is sufficient for an agent to decide when to invoke it.

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

All Morpha toolsInspect
Try in Browser
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources