apply_asset_intelligence

Persist one explicitly reviewed asset-intelligence result as searchable annotation, tags, technical/audio evidence, and scene subclips.

SERVERCutpilot SOURCEHellotravisss/cutpilot

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/cutpilot/apply-asset-intelligence.md

WHAT IT DOES

What apply_asset_intelligence does on Cutpilot

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

RISK

Why apply_asset_intelligence is rated Medium

An AI agent can call apply_asset_intelligence faster than any human can review: one bad instruction and it creates or modifies resources in Cutpilot by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs apply_asset_intelligence safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Cutpilot, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For apply_asset_intelligence, this is the rule to start with:

apply_asset_intelligence Rate-limited

apply_asset_intelligence 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "apply_asset_intelligence": {
      "limits": [
        {
          "counter": "apply_asset_intelligence_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Cutpilot, apply this rule, and every apply_asset_intelligence call is checked against it from then on.

FAQ

Questions about apply_asset_intelligence

What does the apply_asset_intelligence tool do? +

Persist one explicitly reviewed asset-intelligence result as searchable annotation, tags, technical/audio evidence, and scene subclips. It is categorised as a Write tool in the Cutpilot MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on apply_asset_intelligence? +

Register the Cutpilot MCP server in PolicyLayer and add a rule for apply_asset_intelligence: 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 Cutpilot. Nothing to install.

What risk level is apply_asset_intelligence? +

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

Can I rate-limit apply_asset_intelligence? +

Yes. Add a rate_limit block to the apply_asset_intelligence 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 apply_asset_intelligence completely? +

Set action: deny in the PolicyLayer policy for apply_asset_intelligence. 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 apply_asset_intelligence? +

apply_asset_intelligence is provided by the Cutpilot MCP server (Hellotravisss/cutpilot). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

More on Cutpilot, and thousands of servers like it.

This server

All 219 Cutpilot tools →

Across the catalogue

The MCP Attack Database →

Guides

Govern customer-ops agents →Argument validation →Scoped token →