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opsera_tasks

Tasks: list, create, create_batch, task_status, tasks_lookup, tasks_status; and task actions (status, create, update, run, stop) via POST /api/v2/actions. See docs/API_REFERENCE.md.

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Part of the Opsera server.

opsera_tasks can trigger actions in Opsera, 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 opsera_tasks to trigger processes or run actions in Opsera. 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.

opsera_tasks 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": {
    "opsera_tasks": {
      "limits": [
        {
          "counter": "opsera_tasks_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

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These attack patterns abuse exactly the kind of access opsera_tasks gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so opsera_tasks 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 opsera_tasks tool do? +

Tasks: list, create, create_batch, task_status, tasks_lookup, tasks_status; and task actions (status, create, update, run, stop) via POST /api/v2/actions. See docs/API_REFERENCE.md.. It is categorised as a Execute tool in the Opsera MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on opsera_tasks? +

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

What risk level is opsera_tasks? +

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

Can I rate-limit opsera_tasks? +

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

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

opsera_tasks is provided by the Opsera MCP server (https://agent.opsera.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Opsera tool call.

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