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Export the video

export_video

Render the project in Cardboard's export pool, from the originals in Cardboard's storage. Hands back a job at once (an export takes minutes for a long edit): job_status follows the render and returns the export's id and a link to the file, and cancel_job stops it. Cardboard's card plays the project's newest preview or export and offers its newest export's download; show_preview opens it. For when the user wants the file; check an edit with look and verify_timeline instead.

Input Schema

NameRequiredDescriptionDefault
formatNo
projectYesProject id or exact name
qualityNo
frameRateNo
resolutionNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior5/5

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

Annotations only say it is a non-destructive, non-read-only, closed-world call. The description adds real behavioral context: the render is async ('hands back a job at once'), takes minutes for long edits, is cancellable via cancel_job, and its result is retrievable through job_status with an id and download link.

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?

Front-loaded with the action and the async behavior, and the parenthetical about export duration earns its place. The sentence about Cardboard's card playing the newest preview/export is slightly tangential but still aids discovery.

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?

With no output schema, the description usefully explains what job_status returns (export id and file link). It covers lifecycle well, but for a 5-parameter export tool it leaves the output-quality parameters completely unexplained.

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

Parameters2/5

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

Schema description coverage is only 20% (just 'project'), yet the description says nothing about format, quality, frameRate, or resolution — no defaults, no note about what happens when they're omitted. The enums are self-describing but the agent gets no guidance on choosing values.

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?

States a specific verb and resource ('Render the project in Cardboard's export pool') plus the source of truth ('from the originals in Cardboard's storage'), which separates it from AI-generation siblings like generate_video. It also explicitly names what it is not (look, verify_timeline for checking an edit).

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?

Explicit selection guidance: 'For when the user wants the file; check an edit with look and verify_timeline instead.' It names the alternative tools and the condition that routes to them, plus points to job_status for following the render.

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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