This record as markdown: /tools/io-github-ruvnet-claude-flow/teammate-send-message.md
What teammate_send_message does on Claude Flow
AI agents use teammate_send_message 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.
Why teammate_send_message is rated Medium
This tool creates or modifies data (a message) within what appears to be an agent orchestration platform. It is reversible (messages can typically be deleted or edited) and produces side effects limited to communication/notification. It does not execute external code, delete data irreversibly, move money, or perform destructive actions.
From the tool's definition Tool name and description state it 'Send a message to a specific teammate' — the verb 'send' indicates creation of a message record in a messaging system, which is a reversible write operation.
Attacks that exploit this kind of access
The rule that runs teammate_send_message 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 teammate_send_message, this is the rule to start with:
teammate_send_message 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Claude Flow, apply this rule, and every teammate_send_message call is checked against it from then on.
Questions about teammate_send_message
Send a message to a specific teammate. 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.
Register the Claude Flow MCP server in PolicyLayer and add a rule for teammate_send_message: 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.
teammate_send_message is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the teammate_send_message 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_send_message. 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_send_message 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.
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