High Risk →

brand_build_journey

Define buyer journey stages for content strategy — the path from awareness to purchase. Ships with 4 proven defaults (First Touch, Context & Meaning, Validation & Proof, Decision Support) that can be customized per brand. Mode 'interview' presents defaults for review. Mode 'record' writes stages ...

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

@brandsystem/mcp Execute Risk 3/5

AI agents invoke brand_build_journey to trigger processes or run actions in Brandcode MCP. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

brand_build_journey can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. Intercept enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

brandcode-mcp.yaml
tools:
  brand_build_journey:
    rules:
      - action: allow
        rate_limit:
          max: 10
          window: 60
        validate:
          required_args: true

See the full Brandcode MCP policy for all 42 tools.

Tool Name brand_build_journey
Category Execute
Risk Level High

View all 42 tools →

Agents calling execute-class tools like brand_build_journey 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 Execute risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.

brand_build_journey is one of the high-risk operations in Brandcode MCP. For the full severity-focused view — only the high-risk tools with their recommended policies — see the breakdown for this server, or browse all high-risk tools across every MCP server.

What does the brand_build_journey tool do? +

Define buyer journey stages for content strategy — the path from awareness to purchase. Ships with 4 proven defaults (First Touch, Context & Meaning, Validation & Proof, Decision Support) that can be customized per brand. Mode 'interview' presents defaults for review. Mode 'record' writes stages (omit answers to accept defaults). Mode 'view' shows current stages. Part of Session 4 (content strategy). Returns stage definitions with buyer mindset, content goals, and tone shifts.. It is categorised as a Execute tool in the Brandcode MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on brand_build_journey? +

Add a rule in your Intercept YAML policy under the tools section for brand_build_journey. 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_build_journey? +

brand_build_journey is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit brand_build_journey? +

Yes. Add a rate_limit block to the brand_build_journey 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_build_journey completely? +

Set action: deny in the Intercept policy for brand_build_journey. 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_build_journey? +

brand_build_journey 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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