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luquimbo

DaVinci Resolve MCP Server

by luquimbo

render_start

Initiate rendering of queued jobs in DaVinci Resolve. Accepts optional job IDs to render specific items and an interactive flag for real-time visual preview.

Instructions

Start rendering queued jobs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idsNoOptional list of specific job IDs to render. If None, all queued jobs are rendered.
is_interactiveNoIf True, rendering will show the visual preview in Resolve (slower but useful for monitoring).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does not mention side effects, whether rendering runs asynchronously, whether a project must be open, or what happens if no jobs are queued. The description is too sparse to inform the agent about important behavioral traits.

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 a single concise sentence that immediately states the tool's purpose. It is appropriately sized for a simple action and contains no filler or redundant content.

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 tool is relatively simple with only two optional parameters and an output schema. The description covers the core action but omits prerequisites (e.g., having a project open) and the behavior of the rendering process. It is adequate but leaves meaningful gaps.

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 has 100% description coverage for its two parameters, so the schema already fully documents them. The description adds no parameter-specific semantics, but given the high schema coverage, a baseline score of 3 is appropriate.

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 'Start rendering queued jobs' uses a specific verb ('start') and resource ('queued jobs'), clearly distinguishing it from sibling tools like render_stop and render_add_job. It unambiguously identifies the tool's action.

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 imperative phrasing implies usage when the user wants to initiate rendering of queued jobs, but there is no explicit guidance on when to use this tool versus alternatives, nor any prerequisites or exclusions. It relies on the tool's name and basic context.

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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