scheduled_tasks_configure
Run scheduled-tasks.configure through the Appaloft application operation catalog. Shared with CLI and HTTP/API.
This record as markdown: /tools/appaloft-mcp/scheduled-tasks-configure.md
What scheduled_tasks_configure does on Appaloft
AI agents invoke scheduled_tasks_configure to trigger actions in Appaloft. 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.
| Parameter | Type | Required | Description |
|---|---|---|---|
status | string | — | |
taskId | string | Yes | |
schedule | string | — | |
timezone | string | — | |
resourceId | string | Yes | |
retryLimit | integer | — | |
commandIntent | string | — | |
idempotencyKey | string | — | |
timeoutSeconds | integer | — | |
concurrencyPolicy | string | — |
Parameters from the server's own tool schema.
Why scheduled_tasks_configure is rated High
The tool 'runs' a configure operation on scheduled tasks, which modifies system behavior (scheduling configuration) and triggers external operations. 'Configure' implies changing how tasks are scheduled/executed, which is an Execute-level action. The description emphasizes running an operation through a catalog shared with CLI and HTTP/API, indicating active execution rather than a simple data write.
From the tool's definition 'Run scheduled-tasks.configure through the Appaloft application operation catalog'
Risk signalsHigh parameter count (10 properties)
Attacks that exploit this kind of access
The rule that runs scheduled_tasks_configure safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Appaloft, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For scheduled_tasks_configure, this is the rule to start with:
scheduled_tasks_configure 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 Appaloft, apply this rule, and every scheduled_tasks_configure call is checked against it from then on.
Questions about scheduled_tasks_configure
Run scheduled-tasks.configure through the Appaloft application operation catalog. Shared with CLI and HTTP/API. It is categorised as a Execute tool in the Appaloft MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
scheduled_tasks_configure accepts 10 parameters: status, taskId, schedule, timezone, resourceId, retryLimit, commandIntent, idempotencyKey, timeoutSeconds, concurrencyPolicy. Required: taskId, resourceId. The full parameter table on this page comes from the server's own tool schema.
Register the Appaloft MCP server in PolicyLayer and add a rule for scheduled_tasks_configure: 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 Appaloft. Nothing to install.
scheduled_tasks_configure 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 scheduled_tasks_configure 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 scheduled_tasks_configure. 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.
scheduled_tasks_configure is provided by the Appaloft MCP server (@appaloft/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Appaloft, and thousands of servers like it.
Across the catalogue