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@runapi.ai/runway-aleph-mcp

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by runapi-ai

edit_video

Edit a video by providing a source video and a prompt to Runway Aleph. Creates a task and returns its ID, status, and output URLs.

Instructions

Create a Runway Aleph task on RunAPI (edit video). Returns a task id, status, and output URLs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptNo
aspect_ratioNo
source_video_urlNo
waitNoPoll until the task reaches a terminal status.
timeout_msNo
poll_interval_msNo
modelNoRunAPI model slug for this model line.
Behavior2/5

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

With no annotations, the description must fully disclose behavioral traits. It only mentions creation and return values but does not indicate whether the operation is destructive, requires authentication, consumes credits, or has rate limits. Minimal behavioral context.

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?

Single sentence, no redundancy. Efficient, but could benefit from briefly listing key parameters or usage context. Still, it earns its place with no filler.

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

Completeness2/5

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

For a tool with 7 parameters, no output schema, and low schema coverage, the description fails to provide enough context for correct invocation. Missing details on parameter formats, required inputs, and response structure.

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

Parameters1/5

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

Schema description coverage is low (29%), and the description adds no parameter explanations. Critical parameters like prompt, source_video_url, aspect_ratio, timeout_ms, and poll_interval_ms are left undefined, forcing the agent to infer meaning from names alone.

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 clearly states it creates a Runway Aleph task, which is a specific action on a specific resource, and lists the return values (task id, status, output URLs). This distinguishes it from sibling tools like check_pricing and get_task.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives (e.g., get_task for retrieval, check_pricing for pricing). No context on prerequisites or when to avoid using it.

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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