Low Risk

brand_feedback_review

Review all agent feedback stored in ~/.brandsystem/feedback/. Read-only — reads local JSON files without network access. Shows summary stats (by category, severity, status) and individual items with timestamps. Filter by category (bug, friction, feature_request, agent_signal) or status (new, quar...

Part of the Brandcode MCP MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

AI agents call brand_feedback_review 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_feedback_review 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.

brandcode-mcp.yaml
tools:
  brand_feedback_review:
    rules:
      - action: allow

See the full Brandcode MCP policy for all 42 tools.

Tool Name brand_feedback_review
Category Read
Risk Level Low

View all 42 tools →

Agents calling read-class tools like brand_feedback_review have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Read risk category across the catalogue. The same policy patterns (rate-limit, allow) apply to each.

What does the brand_feedback_review tool do? +

Review all agent feedback stored in ~/.brandsystem/feedback/. Read-only — reads local JSON files without network access. Shows summary stats (by category, severity, status) and individual items with timestamps. Filter by category (bug, friction, feature_request, agent_signal) or status (new, quarantined, acknowledged, fixed). Quarantined items were flagged for potential prompt injection. Use to triage feedback, spot recurring issues, and prioritize fixes. NOT for submitting feedback — use brand_feedback. NOT for changing item status — use brand_feedback_triage.. 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_feedback_review? +

Add a rule in your Intercept YAML policy under the tools section for brand_feedback_review. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Brandcode MCP MCP server.

What risk level is brand_feedback_review? +

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

Can I rate-limit brand_feedback_review? +

Yes. Add a rate_limit block to the brand_feedback_review rule in your Intercept 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_feedback_review completely? +

Set action: deny in the Intercept policy for brand_feedback_review. 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_feedback_review? +

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

Enforce policies on Brandcode MCP

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
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