Medium Risk

set_lighting_cue_variables

Update variables on a live cue (e.g. change cycle speed or intensity mid-show). Only the variables you pass change; the rest keep their current values. Stopped cues are rejected.

Part of the Compeller server.

set_lighting_cue_variables can modify Compeller data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use set_lighting_cue_variables to create or modify resources in Compeller. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call set_lighting_cue_variables repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Compeller.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

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

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These attack patterns abuse exactly the kind of access set_lighting_cue_variables gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so set_lighting_cue_variables only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the set_lighting_cue_variables tool do? +

Update variables on a live cue (e.g. change cycle speed or intensity mid-show). Only the variables you pass change; the rest keep their current values. Stopped cues are rejected.. It is categorised as a Write tool in the Compeller MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on set_lighting_cue_variables? +

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

What risk level is set_lighting_cue_variables? +

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

Can I rate-limit set_lighting_cue_variables? +

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

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

set_lighting_cue_variables is provided by the Compeller MCP server (https://compeller.ai/api/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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