Medium Risk

update_branding

Update the workspace's whitelabel branding configuration. Set any combination of branding fields. Pass null or empty string to clear a field. Fields: - displayName: Brand name shown to clients (e.g., "Acme Corp") - logoUrl: URL to brand logo image - tagline: Short tagline under the brand name - p...

Part of the Agentled server.

update_branding can modify Agentled 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 update_branding to create or modify resources in Agentled. 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 update_branding 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 Agentled.

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

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

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

Update the workspace's whitelabel branding configuration. Set any combination of branding fields. Pass null or empty string to clear a field. Fields: - displayName: Brand name shown to clients (e.g., "Acme Corp") - logoUrl: URL to brand logo image - tagline: Short tagline under the brand name - primaryColor: Hex color for light mode (e.g., "#6366f1") - primaryColorDark: Hex color for dark mode (e.g., "#818cf8") - faviconUrl: URL to custom favicon - hideBadge: Boolean — hide the "Built with Agentled" badge (requires teams/enterprise plan). It is categorised as a Write tool in the Agentled MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on update_branding? +

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

What risk level is update_branding? +

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

Can I rate-limit update_branding? +

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

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

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

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