Skip to main content
Glama

Join clips into one film

join_clips

Concatenate 2-20 images or clips, in the order given, into a single MP4 in the library. A single clip is accepted too when it carries a music bed or narration — that is how a voice-over is laid on one clip. This is how a run of shots becomes one file: generate each clip, carry the last frame into the next with extract_video_frame, then join them here. Images hold for image_duration_seconds (three seconds by default). Every clip keeps its own audio; a music bed is looped to the cut's length and ducked under any voice-over, and each narration line is laid at the second you name. Costs no credits. The cut may not run past 10 minutes, and one account joins one set at a time.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
musicNo
sourcesYes
narrationNo
aspect_ratioNo
image_duration_secondsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
messageYes
generationYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedOutput schema / properties / generation / properties / ready_in_seconds
      Added value: +{
      +  "type": [
      +    "number",
      +    "null"
      +  ]
      +}
    • changedOutput schema / properties / generation / required
      Previous value: -[
      -  "generation_id",
      -  "kind",
      -  "status",
      -  "model",
      -  "prompt",
      -  "aspect_ratio",
      -  "refined_from",
      -  "caption_style",
      -  "output_url",
      -  "credits_cost",
      -  "error",
      -  "vendor_phase",
      -  "stalled",
      -  "created_at",
      -  "app_url"
      -]New value: +[
      +  "generation_id",
      +  "kind",
      +  "status",
      +  "model",
      +  "prompt",
      +  "aspect_ratio",
      +  "refined_from",
      +  "caption_style",
      +  "output_url",
      +  "credits_cost",
      +  "error",
      +  "vendor_phase",
      +  "stalled",
      +  "ready_in_seconds",
      +  "created_at",
      +  "app_url"
      +]
  2. First observed

TDQS

A4.3/5.0
Behavior5/5

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

Annotations only cover the safety profile (not read-only, not destructive, not idempotent). The description adds substantial context beyond that: no credit cost, a 10-minute cut ceiling, per-account concurrency ('one account joins one set at a time'), audio mixing behavior (music looped to cut length and ducked under voice-over, narration laid at the named second), and the default 3s image hold.

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 core action is front-loaded in the first sentence and the remaining sentences each cover a distinct concern (workflow, audio mixing, cost, limits). It is dense but not padded; the audio-mixing sentence is long but earns its length given nested music/narration parameters.

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 no explanation, and the description covers cost, time limit, concurrency, and audio semantics for a 5-param nested tool. The remaining gap is the aspect_ratio parameter and the sources item type union, which are 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 0%, so the description must carry the load, and it partially does: image_duration_seconds default (3s), narration start placement, and the music/ducking behavior implied by gain_db. But it never explains aspect_ratio's enum choices, the gain_db range/units, or the upload vs generation source discriminator in the sources array — the most structurally complex part of the schema.

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, resource, and scope: 'Concatenate 2-20 images or clips, in the order given, into a single MP4 in the library.' It also carves out the single-clip-with-music exception and names the sibling tools (generate_clip, extract_video_frame) that feed it, so an agent can tell it apart from trim_video/loop_video 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?

It supplies a concrete workflow ('generate each clip, carry the last frame into the next with extract_video_frame, then join them here') and states the conditions under which a single clip is valid. It does not explicitly contrast with other assembly/editing siblings (e.g. trim_video, render_storyboard) or say when not to use it, so it stops short of full routing guidance.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources