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Edit style (how this workspace edits its videos)

get_edit_style
Read-onlyIdempotent

The workspace's saved edit style: how the user edits their videos, MEASURED by Ignix Editor on 2–3 of their own videos (cut pace, text on screen, framing and zooms, motion, colour, loudness, speech pace, sound effects) plus what was SEEN in them (typography, captions, kinds of animation, transitions, sound effects, hook, pacing). style: null means none is saved: edit as usual, and never ask the user to create one first. The video playbooks call this before editing.

Input Schema

NameRequiredDescriptionDefault
workspaceIdNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare read-only, idempotent, non-destructive behavior, so the bar is lower. The description adds meaningful context beyond them: what the returned style contains, the `style: null` no-data state, and the integration point with video playbooks.

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 resource definition, and the following sentences (null behavior, playbook usage) each carry distinct value. The two long parenthetical enumerations of measured/observed dimensions are dense but justified given there is no output 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?

With no output schema, the description correctly carries the burden of describing return content and its null state, and it explains the calling context. The only shortfall is the absence of any parameter guidance for workspaceId.

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?

There is one parameter (workspaceId) with 0% schema description coverage, and the description never mentions it. The parameter is largely self-evident by name, so this is a minor gap rather than a severe one, but the description does not compensate for the missing schema documentation.

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 names a specific resource (the workspace's saved edit style) and defines it concretely as how the user edits videos, measured across named dimensions plus observed traits. It is clearly distinct from siblings like get_edit_playbook and get_creative_direction, so an agent can tell them apart without opening schemas.

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?

It states the calling context ('The video playbooks call this before editing') and gives explicit null-handling guidance ('edit as usual, and never ask the user to create one first'). It does not explicitly contrast against alternatives such as get_edit_playbook, so it stops short of full when/when-not routing.

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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