teammate_launch_swarm
Launch swarm to execute an approved plan
This record as markdown: /tools/hamza-agent-hub-252/teammate-launch-swarm.md
What teammate_launch_swarm does on Hamza Agent Hub 252
AI agents invoke teammate_launch_swarm to trigger actions in Hamza Agent Hub 252. 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_launch_swarm is rated High
This tool executes autonomous agent swarms to carry out plans. While described as 'approved,' the blast radius is high: a swarm can perform arbitrary actions across multiple agents simultaneously. An AI agent given control could launch swarms with malicious plans, access sensitive systems, or consume resources at scale.
From the tool's definition Tool name 'teammate_launch_swarm' and description 'Launch swarm to execute an approved plan' indicates triggering execution of autonomous agent workflows.
Attacks that exploit this kind of access
The rule that runs teammate_launch_swarm safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Hamza Agent Hub 252, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For teammate_launch_swarm, this is the rule to start with:
teammate_launch_swarm 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 Hamza Agent Hub 252, apply this rule, and every teammate_launch_swarm call is checked against it from then on.
Questions about teammate_launch_swarm
Launch swarm to execute an approved plan. It is categorised as a Execute tool in the Hamza Agent Hub 252 MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Hamza Agent Hub 252 MCP server in PolicyLayer and add a rule for teammate_launch_swarm: 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 Hamza Agent Hub 252. Nothing to install.
teammate_launch_swarm 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_launch_swarm 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_launch_swarm. 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_launch_swarm is provided by the Hamza Agent Hub 252 MCP server (hamzachallenge3-dev/hamza-agent-hub-252). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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