canvas_apply_changes
只通过受控批量事务提交画布结构修改;删除或覆盖必须声明 destructiveIntent=explicit,版本冲突时须重新读取并复核,不自动换用最新基线。新增或替换边使用:${CANVAS_UPSERT_EDGES_EXAMPLE}
This record as markdown: /tools/dutydeck/canvas-apply-changes.md
What canvas_apply_changes does on DutyDeck
AI agents use canvas_apply_changes to create or update resources in DutyDeck, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your DutyDeck environment.
Why canvas_apply_changes is rated Medium
An AI agent can call canvas_apply_changes faster than any human can review: one bad instruction and it creates or modifies resources in DutyDeck by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs canvas_apply_changes safely
PolicyLayer is an MCP gateway: it sits between your AI agents and DutyDeck, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For canvas_apply_changes, this is the rule to start with:
canvas_apply_changes stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect DutyDeck, apply this rule, and every canvas_apply_changes call is checked against it from then on.
Questions about canvas_apply_changes
只通过受控批量事务提交画布结构修改;删除或覆盖必须声明 destructiveIntent=explicit,版本冲突时须重新读取并复核,不自动换用最新基线。新增或替换边使用:${CANVAS_UPSERT_EDGES_EXAMPLE}. It is categorised as a Write tool in the DutyDeck MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the DutyDeck MCP server in PolicyLayer and add a rule for canvas_apply_changes: 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_apply_changes is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the canvas_apply_changes 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_apply_changes. 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_apply_changes 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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