canvas_show
OPTIONAL: Open the canvas in a separate interactive window.
This record as markdown: /tools/cowork-os/canvas-show.md
What canvas_show does on CoWork OS
AI agents invoke canvas_show to trigger actions in CoWork OS. 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_show is rated High
The tool triggers an external UI operation — opening a separate interactive window — which constitutes an action with side effects beyond simple data retrieval. It is not purely reading data, but rather executing a UI/display action. Severity is low since it only opens a window and has minimal blast radius if misused.
From the tool's definition Open the canvas in a separate interactive window
Attacks that exploit this kind of access
The rule that runs canvas_show safely
PolicyLayer is an MCP gateway: it sits between your AI agents and CoWork OS, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For canvas_show, this is the rule to start with:
canvas_show 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 CoWork OS, apply this rule, and every canvas_show call is checked against it from then on.
Questions about canvas_show
OPTIONAL: Open the canvas in a separate interactive window. It is categorised as a Execute tool in the CoWork OS MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the CoWork OS MCP server in PolicyLayer and add a rule for canvas_show: 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 CoWork OS. Nothing to install.
canvas_show 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_show 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_show. 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_show is provided by the CoWork OS MCP server (CoWork-OS/CoWork-OS). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on CoWork OS, and thousands of servers like it.
Across the catalogue