Low Risk

brand_check

Fast inline brand gate — check text, colors, fonts, or CSS against the compiled brand identity in under 50ms. Pass one or more inputs: text (voice violations, never-say, AI-isms), color (palette match with ΔE distance), font (typography match), css (visual anti-pattern violations). Returns pass/f...

Part of the Brandcode MCP server.

brand_check is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call brand_check to retrieve information from Brandcode MCP without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though brand_check only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "brand_check": {}
  }
}

See the full Brandcode MCP policy for all 43 tools.

Get this rule live on your own Brandcode MCP 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 brand_check gives an agent. Each links to the full case and the policy that stops it:

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

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the brand_check tool do? +

Fast inline brand gate — check text, colors, fonts, or CSS against the compiled brand identity in under 50ms. Pass one or more inputs: text (voice violations, never-say, AI-isms), color (palette match with ΔE distance), font (typography match), css (visual anti-pattern violations). Returns pass/fail with specific fixes. Call this reflexively while generating content or code, the way you'd run a linter. Requires brand_compile to have run first. NOT for deep audits — use brand_audit_content for comprehensive scoring.. It is categorised as a Read tool in the Brandcode MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on brand_check? +

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

What risk level is brand_check? +

brand_check is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit brand_check? +

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

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

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

Enforce policy on every Brandcode MCP tool call.

Deterministic rules across all 43 Brandcode MCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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