mcp__collaboration__delegate_agent
创建一个真实可见的 DutyDeck 协作子 Agent 会话来并行处理独立子任务。可选 thinkingLevel 指定子会话首轮思考强度；模型不支持时运行时会安全归一化。返回中的 configuredThinkingLevel/thinkingLevel 表示配置/请求值，不代表模型 capability normalization 后的实际运行档位。委派只表示子会话已启动。
This record as markdown: /tools/dutydeck/mcp--collaboration--delegate-agent.md
What mcp__collaboration__delegate_agent does on DutyDeck
AI agents call mcp__collaboration__delegate_agent to retrieve information from DutyDeck without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why mcp__collaboration__delegate_agent is rated Low
Even though mcp__collaboration__delegate_agent only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs mcp__collaboration__delegate_agent safely
PolicyLayer is an MCP gateway: it sits between your AI agents and DutyDeck, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For mcp__collaboration__delegate_agent, this is the rule to start with:
mcp__collaboration__delegate_agent is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect DutyDeck, apply this rule, and every mcp__collaboration__delegate_agent call is checked against it from then on.
Questions about mcp__collaboration__delegate_agent
创建一个真实可见的 DutyDeck 协作子 Agent 会话来并行处理独立子任务。可选 thinkingLevel 指定子会话首轮思考强度；模型不支持时运行时会安全归一化。返回中的 configuredThinkingLevel/thinkingLevel 表示配置/请求值，不代表模型 capability normalization 后的实际运行档位。委派只表示子会话已启动。. It is categorised as a Read tool in the DutyDeck MCP Server, which means it retrieves data without modifying state.
Register the DutyDeck MCP server in PolicyLayer and add a rule for mcp__collaboration__delegate_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 DutyDeck. Nothing to install.
mcp__collaboration__delegate_agent is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the mcp__collaboration__delegate_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 mcp__collaboration__delegate_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.
mcp__collaboration__delegate_agent is provided by the DutyDeck MCP server (taokoplay/DutyDeck). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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