assign_task
AI agents invoke assign_task to trigger actions in Claude Operator. 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.
The description is empty, so classification relies on context. Given the server's purpose (autonomous operator spawning workers) and sibling tools, 'assign_task' likely delegates a task to a worker session, triggering external execution. This falls under Execute. Severity is high because misuse could spawn unintended autonomous operations. Confidence is reduced due to the empty description.
From the tool's definition Tool name 'assign_task' on a server that 'spawns worker sessions' and 'decomposes goals'; sibling tools include 'spawn_worker' and 'inject_instruction' suggesting task assignment triggers autonomous agent execution.
Attacks that exploit this kind of access
assign_task. It is categorised as a Execute tool in the Claude Operator MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Claude Operator MCP server in PolicyLayer and add a rule for assign_task: 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 Operator. Nothing to install.
assign_task 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 assign_task 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 assign_task. 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.
assign_task is provided by the Claude Operator MCP server (moygulati/claude-operator). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
Teams ship this data inside their own products. See what a licence covers →