Get current canvas settings (size, FPS, background)
Part of the Opencut Controller MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents call canvas_get_settings to retrieve information from Opencut Controller without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though canvas_get_settings only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
tools:
canvas_get_settings:
rules:
- action: allowSee the full Opencut Controller policy for all 161 tools.
Agents calling read-class tools like canvas_get_settings have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Read risk category across the catalogue. The same policy patterns (rate-limit, allow) apply to each.
Get current canvas settings (size, FPS, background). It is categorised as a Read tool in the Opencut Controller MCP Server, which means it retrieves data without modifying state.
Add a rule in your Intercept YAML policy under the tools section for canvas_get_settings. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Opencut Controller MCP server.
canvas_get_settings 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 canvas_get_settings rule in your Intercept 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 Intercept policy for canvas_get_settings. 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_get_settings is provided by the Opencut Controller MCP server (opencut-controller). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic policy on every MCP tool call. Per-identity grants. Full audit log.