team_work

让 AI 开发团队协作完成任务。团队包含前端专家、后端专家、QA专家，会智能分配任务并互相协作。

SERVERClaude Team MCP SOURCE7836246/claude-team-mcp

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade D, identity unverified Pull the record →

This record as markdown: /tools/7836246-claude-team-mcp/team-work.md

WHAT IT DOES

What team_work does on Claude Team MCP

AI agents invoke team_work to trigger actions in Claude Team MCP. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.

RISK

Why team_work is rated High

This tool orchestrates multiple AI agents to autonomously execute complex development tasks with intelligent task distribution. It triggers external operations (code generation, review, QA) whose effects depend on arguments. Since it can spawn and coordinate multiple agents executing arbitrary development work, it falls under Execute.

From the tool's definition '让 AI 开发团队协作完成任务' (let the AI development team collaborate to complete tasks) — triggers intelligent task distribution and multi-agent coordination across frontend, backend, and QA experts

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs team_work safely

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

team_work Rate-limited

team_work stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "team_work": {
      "limits": [
        {
          "counter": "team_work_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about team_work

What does the team_work tool do? +

让 AI 开发团队协作完成任务。团队包含前端专家、后端专家、QA专家，会智能分配任务并互相协作。. It is categorised as a Execute tool in the Claude Team MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on team_work? +

Register the Claude Team MCP server in PolicyLayer and add a rule for team_work: 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 Team MCP. Nothing to install.

What risk level is team_work? +

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

Can I rate-limit team_work? +

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

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

team_work is provided by the Claude Team MCP server (7836246/claude-team-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

More on Claude Team, and thousands of servers like it.

This server

All 18 Claude Team tools → High-risk tools on this server →

Across the catalogue

team_manager_approve_plan on Team Manager MCP → All high-risk MCP tools → The MCP Attack Database →

Guides

Govern code and CI agents →Agent sandbox →Least privilege for MCP →