task_complete

SERVERClaude Flow SOURCEclaude-flow

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/io-github-ruvnet-claude-flow/task-complete.md

WHAT IT DOES

What task_complete does on Claude Flow

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

RISK

Why task_complete is rated Medium

The tool's primary function is to update task status (completion state) in a persistent database (.swarm/memory.db). This is a reversible state modification—tasks can be unmarked or reassigned in a multi-agent orchestration system. While the name suggests a discrete action, the description clarifies it writes to a shared database affecting agent workflows and analytics.

From the tool's definition Tool description states 'Mark task as complete' and explicitly references writing to '.swarm/memory.db' for persistence, agent assignment, and dependency tracking. This modifies state in a database.

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 Claude Flow, 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 Claude Flow, 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 Claude Flow 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 Claude Flow 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 Claude Flow. 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 Claude Flow MCP server (claude-flow). 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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Guides

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