Skip to main content
Glama

reeling_stitch_storyboard

Render each scene in a storyboard via fal.ai MiniMax H3 and stitch them into a single continuous MP4 video with FFmpeg, uploading the final result to Cloudflare R2 storage.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
scenesYesArray of storyboard scene objects with 'prompt' (and optional 'videoUrl').
api_keyNoOptional Reeling API key.
fal_api_keyNoOptional custom fal.ai API key (BYOK).
aspect_ratioNo9:16

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden, and it does disclose meaningful traits: external dependencies (fal.ai MiniMax H3, FFmpeg) and a persistent side effect (upload to Cloudflare R2, i.e., external storage mutation). However it omits cost/credit consumption for scene rendering, expected latency for a multi-scene render, partial-failure behavior, and what happens to scenes that already carry a videoUrl.

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?

A single sentence, front-loaded on the core action ('Render each scene...'), with zero filler and every clause contributing a distinct stage of the pipeline. Nothing redundant or padded.

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

Completeness3/5

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

There is no output schema, so the description should ideally indicate the return value; it only implies the final artifact's storage destination (R2) without saying what is handed back (e.g., a URL). Combined with the absence of annotations and no mention of cost or handling of partial renders, it is adequate but leaves real gaps for a multi-step, paid, mutating pipeline.

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 75%, so the baseline of 3 applies. The description adds no parameter-level meaning: it does not explain the api_key vs fal_api_key (BYOK) split, how aspect_ratio affects output, or whether a scene's pre-supplied videoUrl means it is reused rather than re-rendered — a semantically important ambiguity left unresolved.

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 names a concrete multi-stage verb pipeline: render each scene via fal.ai MiniMax H3, stitch into one continuous MP4 with FFmpeg, upload to Cloudflare R2. That is far more specific than a tautology and inherently separable from reeling_generate_video or reeling_create_storyboard, but it never names or routes against those siblings explicitly, so differentiation is left to inference.

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?

Usage is only implied: the required 'scenes' array signals this runs on an existing storyboard, so the ordering after reeling_create_storyboard is inferable. There is no explicit when-to-use statement, no exclusions, and no guidance on choosing this over reeling_generate_video.

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.