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drive_log_run

Log an agent run to AgentDrive's provenance store. Captures task, status, referenced/produced artifacts, and cross-platform identity (which agent on which tool). Used for retrospective context retrieval and team-wide audit.

Part of the AgentDrive server.

drive_log_run can trigger actions in AgentDrive, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke drive_log_run to trigger processes or run actions in AgentDrive. 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.

drive_log_run can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer 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.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "drive_log_run": {
      "limits": [
        {
          "counter": "drive_log_run_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full AgentDrive policy for all 20 tools.

Get this rule live on your own AgentDrive server in minutes. PolicyLayer enforces it on every call, before it runs.

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View all 20 tools →

These attack patterns abuse exactly the kind of access drive_log_run 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 drive_log_run only ever does what you allow.

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Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the drive_log_run tool do? +

Log an agent run to AgentDrive's provenance store. Captures task, status, referenced/produced artifacts, and cross-platform identity (which agent on which tool). Used for retrospective context retrieval and team-wide audit.. It is categorised as a Execute tool in the AgentDrive MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on drive_log_run? +

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

What risk level is drive_log_run? +

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

Can I rate-limit drive_log_run? +

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

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

drive_log_run is provided by the AgentDrive MCP server (https://mcp.agentdrive.sh/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every AgentDrive tool call.

Deterministic rules across all 20 AgentDrive 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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