mcp__collaboration__stop_delegation
停止一个正在运行的 DutyDeck 协作子会话。
This record as markdown: /tools/dutydeck/mcp--collaboration--stop-delegation.md
What mcp__collaboration__stop_delegation does on DutyDeck
AI agents invoke mcp__collaboration__stop_delegation to trigger actions in DutyDeck. 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 mcp__collaboration__stop_delegation is rated High
mcp__collaboration__stop_delegation triggers real processes with real consequences. An agent gone sideways doesn't fire it once. It starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.
Attacks that exploit this kind of access
The rule that runs mcp__collaboration__stop_delegation 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__stop_delegation, this is the rule to start with:
mcp__collaboration__stop_delegation 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 DutyDeck, apply this rule, and every mcp__collaboration__stop_delegation call is checked against it from then on.
Questions about mcp__collaboration__stop_delegation
停止一个正在运行的 DutyDeck 协作子会话。. It is categorised as a Execute tool in the DutyDeck MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the DutyDeck MCP server in PolicyLayer and add a rule for mcp__collaboration__stop_delegation: 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__stop_delegation 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 mcp__collaboration__stop_delegation 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__stop_delegation. 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__stop_delegation 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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