schedule_list
List your rig schedules: cadence, enabled state, next/last run time, run count, and last status (ok | partial — some steps failed | error | skipped_budget). Requires a logged-in identity.
This record as markdown: /tools/ai-rokha-rokha/schedule-list.md
What schedule_list does on Rokha
AI agents use schedule_list to create or update resources in Rokha, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Rokha environment.
Why schedule_list is rated Medium
An AI agent can call schedule_list faster than any human can review: one bad instruction and it creates or modifies resources in Rokha by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs schedule_list safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Rokha, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For schedule_list, this is the rule to start with:
schedule_list 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 Rokha, apply this rule, and every schedule_list call is checked against it from then on.
Questions about schedule_list
List your rig schedules: cadence, enabled state, next/last run time, run count, and last status (ok | partial — some steps failed | error | skipped_budget). Requires a logged-in identity. It is categorised as a Write tool in the Rokha MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Rokha MCP server in PolicyLayer and add a rule for schedule_list: 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 Rokha. Nothing to install.
schedule_list 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 schedule_list 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 schedule_list. 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.
schedule_list is provided by the Rokha MCP server (https://rokha.ai/mcp/jsonrpc). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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