Start playback from the current time position
Part of the Opencut Controller MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents invoke playback_play to trigger processes or run actions in Opencut Controller. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.
playback_play can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. Intercept enforces rate limits and validates arguments to keep execution within safe bounds.
Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.
tools:
playback_play:
rules:
- action: allow
rate_limit:
max: 10
window: 60
validate:
required_args: true See the full Opencut Controller policy for all 161 tools.
Agents calling execute-class tools like playback_play have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Execute risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.
playback_play is one of the high-risk operations in Opencut Controller. For the full severity-focused view — only the high-risk tools with their recommended policies — see the breakdown for this server, or browse all high-risk tools across every MCP server.
Start playback from the current time position. It is categorised as a Execute tool in the Opencut Controller MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Add a rule in your Intercept YAML policy under the tools section for playback_play. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Opencut Controller MCP server.
playback_play 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 playback_play 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 playback_play. 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.
playback_play 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.