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start_agent_run

Start a Rolli Agent investigation. Submit a plain-English question; the agent plans a search strategy, queries Rolli IQ across platforms, analyzes posts, and produces a markdown intelligence report with signals, evidence links, and a confidence rating. Polls until the run is complete and returns ...

Part of the Rolli server.

start_agent_run can trigger actions in Rolli, 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 start_agent_run to trigger processes or run actions in Rolli. 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_agent_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": {
    "start_agent_run": {
      "limits": [
        {
          "counter": "start_agent_run_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

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

Start a Rolli Agent investigation. Submit a plain-English question; the agent plans a search strategy, queries Rolli IQ across platforms, analyzes posts, and produces a markdown intelligence report with signals, evidence links, and a confidence rating. Polls until the run is complete and returns the full results.. It is categorised as a Execute tool in the Rolli MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on start_agent_run? +

Register the Rolli MCP server in PolicyLayer and add a rule for start_agent_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 Rolli. Nothing to install.

What risk level is start_agent_run? +

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

Can I rate-limit start_agent_run? +

Yes. Add a rate_limit block to the start_agent_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 start_agent_run completely? +

Set action: deny in the PolicyLayer policy for start_agent_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 start_agent_run? +

start_agent_run is provided by the Rolli MCP server (@rolli/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Rolli tool call.

Deterministic rules across all 30 Rolli tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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