teammate_spawn
Spawn a new teammate in a team. Returns AgentInput for Claude Code Task tool.
This record as markdown: /tools/ruflo/teammate-spawn.md
What teammate_spawn does on Ruflo
AI agents invoke teammate_spawn to trigger actions in Ruflo. 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.
Why teammate_spawn is rated High
Spawning a new agent/teammate triggers the creation and execution of an autonomous agent process. This is an Execute-category action because it instantiates and runs an external autonomous workflow (a 'teammate' agent), which can have wide-ranging effects depending on what that agent does.
From the tool's definition Spawn a new teammate in a team. Returns AgentInput for Claude Code Task tool.
Attacks that exploit this kind of access
The rule that runs teammate_spawn 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 teammate_spawn, this is the rule to start with:
teammate_spawn 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Ruflo, apply this rule, and every teammate_spawn call is checked against it from then on.
Questions about teammate_spawn
Spawn a new teammate in a team. Returns AgentInput for Claude Code Task tool. It is categorised as a Execute tool in the Ruflo MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Ruflo MCP server in PolicyLayer and add a rule for teammate_spawn: 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.
teammate_spawn is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the teammate_spawn 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.
Set action: deny in the PolicyLayer policy for teammate_spawn. 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.
teammate_spawn 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.
More on Ruflo, and thousands of servers like it.
Across the catalogue