send_team

Send one message to every active agent in a team, optionally scoped by project/area. Use for private team fan-out without manually addressing each agent.

Server Agent Bus mustaphasteph/agent-bus
Category Write
Risk class Medium
Parameters 00 required

What send_team does on Agent Bus

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

Why send_team needs a policy

This tool creates or modifies data (messages) reversibly in a shared message bus. It does not execute code, delete data, or move financial resources. The blast radius is medium because a malicious agent could spam the team, send misleading instructions to other local agents, or broadcast sensitive information to all team members.

From the tool's definition Tool sends messages to multiple agents ('Send one message to every active agent in a team'), which creates communication artifacts that persist in the message bus. The description explicitly mentions 'fan-out' delivery to multiple recipients.

Questions about send_team

What does the send_team tool do? +

Send one message to every active agent in a team, optionally scoped by project/area. Use for private team fan-out without manually addressing each agent. It is categorised as a Write tool in the Agent Bus MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on send_team? +

Register the Agent Bus MCP server in PolicyLayer and add a rule for send_team: 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 Agent Bus. Nothing to install.

What risk level is send_team? +

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

Can I rate-limit send_team? +

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

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

send_team is provided by the Agent Bus MCP server (mustaphasteph/agent-bus). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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