Medium Risk

displaybuddy_preset_activate

Activate a saved display preset by name.

Part of the Displaybuddy server.

displaybuddy_preset_activate can modify Displaybuddy 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 displaybuddy_preset_activate to create or modify resources in Displaybuddy. 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 displaybuddy_preset_activate 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 Displaybuddy.

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

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

See the full Displaybuddy policy for all 9 tools.

Get this rule live on your own Displaybuddy server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access displaybuddy_preset_activate 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 displaybuddy_preset_activate 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 displaybuddy_preset_activate tool do? +

Activate a saved display preset by name.. It is categorised as a Write tool in the Displaybuddy MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on displaybuddy_preset_activate? +

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

What risk level is displaybuddy_preset_activate? +

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

Can I rate-limit displaybuddy_preset_activate? +

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

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

displaybuddy_preset_activate is provided by the Displaybuddy MCP server (@biocross/displaybuddy-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Displaybuddy tool call.

Deterministic rules across all 9 Displaybuddy tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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