Skip to main content
Glama

start_render

Initiate rendering of queued jobs in DaVinci Resolve. Optionally specify job IDs to render only selected items.

Instructions

Start rendering jobs in the render queue.

Args: job_ids: Optional list of specific job IDs to render. Renders all queued jobs if omitted.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idsNo

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 full burden. It states that it renders jobs but does not disclose whether the operation is asynchronous, blocking, any side effects, progress behavior, or required permissions. This is minimal transparency.

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 extremely concise: a single sentence and a parameter block with no wasted words. The key action and parameter are front-loaded.

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 has one parameter and an output schema, but the description lacks crucial behavioral details like whether the rendering is asynchronous or blocking. Given sibling tools like wait_for_render, this context would help. The description is adequate but not fully complete.

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?

Schema description coverage is 0%, so the description must compensate. It clearly explains 'job_ids' as optional and specifies behavior when omitted (renders all queued jobs), adding meaningful context beyond the schema.

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 clearly states the verb 'Start rendering' and the resource 'jobs in the render queue', distinguishing it from sibling tools like add_render_job (adds jobs) and wait_for_render (waits for completion).

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 for initiating rendering but does not explicitly specify when to use this tool versus alternatives like add_render_job or wait_for_render, nor does it mention prerequisites or exclusions.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/DigitalWorkflowCompany/resolve-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server