canvas_run_nodes
运行已有图片、音频或视频节点并创建待验收候选,调用远端模型时可能产生费用;同批不能同时选择有直接依赖关系的上下游。
This record as markdown: /tools/dutydeck/canvas-run-nodes.md
What canvas_run_nodes does on DutyDeck
AI agents invoke canvas_run_nodes 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 canvas_run_nodes is rated High
canvas_run_nodes 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 canvas_run_nodes 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 canvas_run_nodes, this is the rule to start with:
canvas_run_nodes 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 canvas_run_nodes call is checked against it from then on.
Questions about canvas_run_nodes
运行已有图片、音频或视频节点并创建待验收候选,调用远端模型时可能产生费用;同批不能同时选择有直接依赖关系的上下游。. 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 canvas_run_nodes: 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.
canvas_run_nodes 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 canvas_run_nodes 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 canvas_run_nodes. 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.
canvas_run_nodes 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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