Medium Risk

step_complete

Mark the current journey step as complete or failed. Advances to the next step and returns its dossier content with injected context from previous outputs. Returns a summary when the last step completes or a step fails.

Part of the Ai Dossier server.

step_complete can modify Ai Dossier 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 step_complete to create or modify resources in Ai Dossier. 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 step_complete 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 Ai Dossier.

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

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

See the full Ai Dossier policy for all 10 tools.

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

Mark the current journey step as complete or failed. Advances to the next step and returns its dossier content with injected context from previous outputs. Returns a summary when the last step completes or a step fails.. It is categorised as a Write tool in the Ai Dossier MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on step_complete? +

Register the Ai Dossier MCP server in PolicyLayer and add a rule for step_complete: 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 Ai Dossier. Nothing to install.

What risk level is step_complete? +

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

Can I rate-limit step_complete? +

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

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

step_complete is provided by the Ai Dossier MCP server (@ai-dossier/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Ai Dossier tool call.

Deterministic rules across all 10 Ai Dossier tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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