update_task · Smokeball MCP: Risk & Policy

WHAT IT DOES

What update_task does on Smokeball

AI agents use update_task to create or update resources in Smokeball — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Smokeball environment.

WHY IT NEEDS A POLICY

Why update_task needs a policy

This tool modifies existing task data by updating completion status. It creates or modifies data reversibly without deleting or executing external operations, fitting the Write category. Severity is medium because task status changes in a law firm context could affect workflow, billing cycles, and client matters, but the operation is reversible and doesn't destroy data or move money.

From the tool's definition Tool name 'update_task' and description 'Update a task' indicate data modification. The parameter 'completed_str' shows state changes (marking tasks as done/undone) which are reversible operations typical of Write category.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

update_task Rate-limited

update_task stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "update_task": {
      "limits": [
        {
          "counter": "update_task_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Smokeball, so you can run agents against it safely.

FAQ

Questions about update_task

What does the update_task tool do? +

Update a task. completed_str: 'true' to mark done, 'false' to unmark. It is categorised as a Write tool in the Smokeball MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on update_task? +

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

What risk level is update_task? +

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

Can I rate-limit update_task? +

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

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

update_task is provided by the Smokeball MCP server (rosenadvertising/smokeball-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.