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davinci-resolve-mcp

start_render

Initiates rendering of the current render queue in DaVinci Resolve, letting AI agents or CLI tools start queued render jobs through the MCP server.

Instructions

Start rendering the current render queue.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.2/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It does not explain whether the operation is blocking or asynchronous, what happens if rendering is already in progress, whether special permissions are required, or what the tool returns. It only restates the action, leaving significant behavioral gaps.

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, front-loaded sentence with no wasted words. It communicates the core action immediately and does not bury the purpose in unnecessary detail.

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?

For a zero-parameter action tool, the description states the basic operation but omits important context such as expected state, side effects, and return behavior. With no annotations and no output schema, the description should do more to prepare the agent for possible edge cases.

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?

The tool takes zero parameters, so the baseline score is 4. There are no parameter semantics to document, and the description appropriately does not invent any.

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 action ('Start rendering') and object ('the current render queue'), making the core purpose clear. It does not explicitly differentiate itself from siblings such as stop_render or get_render_status, but the verb and resource are specific enough for an agent to identify the tool.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description offers no explicit guidance on when to use this tool versus alternatives like stop_render or get_render_status. It does not state prerequisites such as needing a non-empty queue, nor does it mention conditions under which rendering should not be started.

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