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Opentoonz Render Batch

opentoonz_render_batch

Render several OpenToonz scenes in one batch call, reporting each scene as OK or FAILED so one bad scene does not stop the rest.

Instructions

Render several scenes in one call, reporting each scene's own result.

scenes defaults to every scene in the workspace. kind is frames, video or gif; fps applies to video/gif, start/end (frames only) limit an inclusive range, and crf/scale (video only) control the encode. Each output is named after its scene, so one batch produces one deliverable per scene.

One scene failing does not stop the rest: every outcome is reported, so a long batch is never lost to a single bad scene. The reply lists each scene as OK or FAILED, and the structured payload carries the same per-scene detail.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
crfNo
endNo
fpsNo
kindNovideo
scaleNo
startNo
scenesNo
out_nameNo
workspaceYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.8.0

TDQS

A3.6/5.0
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. It usefully discloses per-scene failure isolation ('One scene failing does not stop the rest'), per-scene OK/FAILED reporting, and output naming, but it leaves side effects such as overwrite behavior, output location, and auth requirements unstated.

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 definition is three short paragraphs with the core purpose front-loaded and no obvious filler. The parameter guidelines are dense but readable, though the final sentence about the structured payload slightly duplicates the preceding reply-format statement.

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 9-parameter batch tool with no annotations and no output schema, the description covers core behavior, parameter applicability, output reporting, and failure isolation. It is not fully complete because out_name/workspace remain undocumented and sibling routing is left implicit.

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

Parameters4/5

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

Schema description coverage is 0%, so the description must supply parameter meaning. It does this well for most parameters: scenes defaults to every scene, kind accepts frames/video/gif, fps applies to video/gif, start/end are inclusive and frames-only, and crf/scale are video-only. However, out_name and workspace are not explained at all.

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 states a specific verb and resource: 'Render several scenes in one call, reporting each scene's own result.' The word 'several' and 'batch' distinguish it from single-scene render siblings such as opentoonz_render_frame or opentoonz_render_video, but no sibling is named explicitly.

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 implied for multi-scene batch rendering, but the description does not say when to choose this over single-scene render tools or over opentoonz_render_video/opentoonz_render_gif. It explains parameter applicability once the tool is selected, not when to select it.

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