wait_for_agent
Wait for a spawned agent to complete and retrieve its results. Returns the agent
This record as markdown: /tools/cowork-os/wait-for-agent.md
What wait_for_agent does on CoWork OS
AI agents invoke wait_for_agent to trigger actions in CoWork OS. 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 wait_for_agent is rated High
This tool executes external agents and retrieves their results, making it an execution operation. The severity is medium because while it runs code/agents, the blast radius depends entirely on what the spawned agent is programmed to do — if the agent performs destructive or financial operations, this becomes a vector for those harms, but the tool itself is a wrapper around agent execution rather than directly…
From the tool's definition Tool description states it 'Wait for a spawned agent to complete and retrieve its results' — this indicates execution of an external agent whose behavior and effects depend on what that agent was designed to do.
Attacks that exploit this kind of access
The rule that runs wait_for_agent safely
PolicyLayer is an MCP gateway: it sits between your AI agents and CoWork OS, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For wait_for_agent, this is the rule to start with:
wait_for_agent 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 CoWork OS, apply this rule, and every wait_for_agent call is checked against it from then on.
Questions about wait_for_agent
Wait for a spawned agent to complete and retrieve its results. Returns the agent. It is categorised as a Execute tool in the CoWork OS MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the CoWork OS MCP server in PolicyLayer and add a rule for wait_for_agent: 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 CoWork OS. Nothing to install.
wait_for_agent 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 wait_for_agent 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 wait_for_agent. 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.
wait_for_agent is provided by the CoWork OS MCP server (CoWork-OS/CoWork-OS). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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