task_complete

SERVERRuflo SOURCEruvnet/ruflo

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/ruflo/task-complete.md

WHAT IT DOES

What task_complete does on Ruflo

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

RISK

Why task_complete is rated Medium

The tool modifies task state in a persistent database, which is a write operation. It's not Read (no query/retrieval), not Execute (doesn't run arbitrary code or trigger external actions), not Destructive (marking tasks complete is reversible—tasks can be reopened), and not Financial.

From the tool's definition Tool description explicitly states 'Mark task as complete' and references writing to '.swarm/memory.db' for 'cross-session task persistence' and 'completion analytics'. This is a reversible state modification operation.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs task_complete safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Ruflo, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For task_complete, this is the rule to start with:

task_complete Rate-limited

task_complete 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": {
    "task_complete": {
      "limits": [
        {
          "counter": "task_complete_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Ruflo, apply this rule, and every task_complete call is checked against it from then on.

FAQ

Questions about task_complete

What does the task_complete tool do? +

Mark task as complete Use when native TodoWrite is wrong because you need cross-session task persistence, agent assignment, dependency tracking, or completion analytics in the .swarm/memory.db. For in-session checklists native TodoWrite is simpler and faster. It is categorised as a Write tool in the Ruflo MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on task_complete? +

Register the Ruflo MCP server in PolicyLayer and add a rule for task_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 Ruflo. Nothing to install.

What risk level is task_complete? +

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

Can I rate-limit task_complete? +

Yes. Add a rate_limit block to the task_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 task_complete completely? +

Set action: deny in the PolicyLayer policy for task_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 task_complete? +

task_complete is provided by the Ruflo MCP server (ruvnet/ruflo). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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