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DaVinci Resolve MCP Server

by luquimbo

color_set_node_label

Set a label on a specific color correction node in a DaVinci Resolve timeline clip. Specify the clip, node index, and label to organize your color grading.

Instructions

Set the label on a specific color correction node.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
labelYesLabel string to assign to the node.
item_nameYesExact name of the timeline clip.
node_indexYes1-based index of the node to label.
track_typeNoTrack type (default "video").video
track_indexNo1-based track number (default 1).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries full behavioral disclosure burden. It implies mutation via 'Set' but does not disclose whether existing labels are overwritten, the consequences of an invalid node_index, or any side effects on color versions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is one sentence with no filler, front-loading the action verb and object. It is appropriately sized and every word contributes meaning.

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

Completeness3/5

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

The schema fully documents all parameters and an output schema exists, so return values need not be explained. However, the description itself is minimal and lacks context about prerequisites or side effects, leaving some ambiguity for a mutation tool without annotations.

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?

The input schema provides complete descriptions for all five parameters (100% coverage), so the description adds no additional parameter semantics. Baseline 3 applies because the schema already handles parameter meaning.

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 uses the specific verb 'Set' and identifies the resource ('label on a specific color correction node'), which clearly distinguishes it from sibling tools like color_get_node_label and color_set_node_enabled. It is concise and unambiguous.

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?

The description implies usage—to set a node label—but does not explicitly state when to use it over alternatives or mention prerequisites. It also doesn't reference related tools such as color_get_node_label for reading labels.

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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