Medium Risk

add_render_job

Add a render job based on current render settings to the render queue. Returns the unique job ID string for the new render job. Configure render settings first with set_render_settings, set_render_format_and_codec, etc.

How to control add_render_job ↓

AI agents use add_render_job to create or update resources in DaVinci Resolve MCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your DaVinci Resolve MCP environment.

Medium Risk

This tool adds a job to a render queue, which is a write operation that creates a new queue entry. It does not execute the render itself, delete anything, or involve financial transactions. It is reversible in that render jobs can typically be removed from the queue. Severity is medium because misuse could queue unintended render jobs that consume system resources.

From the tool's definition Add a render job based on current render settings to the render queue

Documented attack patterns abuse exactly the kind of access add_render_job gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and DaVinci Resolve MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for add_render_job:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "add_render_job": {
      "limits": [
        {
          "counter": "add_render_job_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

add_render_job stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register DaVinci Resolve MCP — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
LIMIT THIS TOOL →

Free to start. No card required.

Go deeper

What does the add_render_job tool do? +

Add a render job based on current render settings to the render queue. Returns the unique job ID string for the new render job. Configure render settings first with set_render_settings, set_render_format_and_codec, etc. It is categorised as a Write tool in the DaVinci Resolve MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on add_render_job? +

Register the DaVinci Resolve MCP server in PolicyLayer and add a rule for add_render_job: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches DaVinci Resolve MCP. Nothing to install.

What risk level is add_render_job? +

add_render_job is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit add_render_job? +

Yes. Add a rate_limit block to the add_render_job rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block add_render_job completely? +

Set action: deny in the PolicyLayer policy for add_render_job. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides add_render_job? +

add_render_job is provided by the DaVinci Resolve MCP server (samuelgursky/davinci-resolve-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every DaVinci Resolve MCP tool call.

Deterministic rules across all 369 DaVinci Resolve MCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

369 DaVinci Resolve MCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.