This record as markdown: /tools/ruflo/teammate-approve-plan.md
What teammate_approve_plan does on Ruflo
AI agents invoke teammate_approve_plan 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_approve_plan is rated High
Approving a plan in an autonomous multi-agent orchestration context (swarms, autonomous workflows) causes downstream execution of potentially complex agent actions. The approval is the trigger that releases an autonomous workflow, making this Execute. The blast radius is high because approving an incorrect or malicious plan in a swarm system could cascade across multiple agents and workflows.
From the tool's definition Approve a submitted plan — triggers execution of a previously submitted plan in an autonomous multi-agent swarm system
Attacks that exploit this kind of access
The rule that runs teammate_approve_plan 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_approve_plan, this is the rule to start with:
teammate_approve_plan 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_approve_plan call is checked against it from then on.
Questions about teammate_approve_plan
Approve a submitted plan. 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_approve_plan: 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_approve_plan 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_approve_plan 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_approve_plan. 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_approve_plan 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