Start a journey session from a resolved and verified graph. Creates a session, returns the first step's dossier content with any injected context. Call step_complete after executing each step.
Part of the Ai Dossier MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents invoke start_journey to trigger processes or run actions in Ai Dossier. 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.
start_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.
tools:
start_journey:
rules:
- action: allow
rate_limit:
max: 10
window: 60
validate:
required_args: trueSee the full Ai Dossier policy for all 10 tools.
Agents calling execute-class tools like start_journey have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Execute risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.
start_journey is one of the high-risk operations in Ai Dossier. 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.
Start a journey session from a resolved and verified graph. Creates a session, returns the first step's dossier content with any injected context. Call step_complete after executing each step.. It is categorised as a Execute tool in the Ai Dossier MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Add a rule in your Intercept YAML policy under the tools section for start_journey. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Ai Dossier MCP server.
start_journey is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the start_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.
Set action: deny in the Intercept policy for start_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.
start_journey is provided by the Ai Dossier MCP server (@ai-dossier/mcp-server). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Open source. One binary. Zero dependencies.
npx -y @policylayer/intercept