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add_image_sequence_strip

Add a numbered image sequence to Blender's sequencer as a single strip, using the first frame to import all matching files in numeric order.

Instructions

Add rendered frames to the sequencer as one image strip.

Give the first frame of a numbered sequence, such as the output of render_animation. Every file in the same folder that shares its prefix and extension is added in numeric order, one image per timeline frame.

Args: first_frame: Path to the first image, e.g. /renders/f_0001.png. name: Optional name for the strip. channel: Sequencer channel, 1-128. Higher channels draw on top. frame_start: Timeline frame where the strip begins.

Returns: Dict with the strip name, image count, and the frames it covers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNo
channelNo
first_frameYes
frame_startNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv2.0.1

TDQS

A4.4/5.0
Behavior4/5

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

No annotations are provided, so the description carries the full behavioral burden. It discloses important behavior: every file in the same folder sharing the prefix and extension is added in numeric order, one image per timeline frame. It does not cover replacement behavior, failure modes, or reversibility, but the core mechanics are well described.

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 description is front-loaded with purpose and behavior, then Args, then Returns. It is generally efficient, though the Returns section is redundant because an output schema exists, and the Args section repeats parameter names already visible in the schema.

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?

Given four parameters, no annotations, an output schema, and 0% schema description coverage, the description supplies complete parameter semantics and the key sequence-scanning behavior. Minor gaps remain around error handling and whether an existing strip is modified, but it is sufficient for correct invocation.

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

Parameters5/5

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

Schema description coverage is 0%, so the description must compensate fully. It does: first_frame includes a concrete path example, name is marked optional, channel is given a 1-128 range with draw-order semantics, and frame_start is defined as the timeline frame where the strip begins.

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: 'Add rendered frames to the sequencer as one image strip.' Clearly distinguishes from siblings such as add_sound_strip, remove_strip, and list_strips, and links the output of render_animation as a canonical use case.

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?

Provides clear context for use: 'Give the first frame of a numbered sequence, such as the output of render_animation.' This tells the agent when the tool is appropriate, but it does not explicitly name alternatives or state when not to use 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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