happ_report_schedule_set
Ставит отчёт на расписание: раз в неделю или раз в месяц. КАЖДЫЙ выпуск разбирает разговоры периода и списывает кредиты — цена считается на момент запуска и зависит от объёма. Скажи об этом человеку до вызова. (POST /conversation-analytics/report-schedules)
This record as markdown: /tools/happ-ai-platform-mcp/happ-report-schedule-set.md
What happ_report_schedule_set does on Platform
AI agents use happ_report_schedule_set to create or update resources in Platform, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Platform environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
hour | integer | Yes | Час запуска в зоне расписания |
cadence | string | Yes | Раз в неделю или раз в месяц |
avgOrder | number | — | Средний чек компании в её валюте: из него считается цена потерянных обращений. Обязателен для всех шаблонов, кроме agent_scenarios. Знает только клиент, спроси |
timezone | string | — | IANA-зона, по умолчанию Europe/Kyiv |
companyId | string | Yes | ID компании |
dayOfWeek | integer | — | Для недельного: 1 — понедельник, 7 — воскресенье |
dayOfMonth | integer | — | Для месячного: 1–28 (позже 28-го пропускался бы февраль) |
templateKey | string | — | Шаблон отчёта |
Parameters from the server's own tool schema.
Why happ_report_schedule_set is rated Medium
An AI agent can call happ_report_schedule_set faster than any human can review: one bad instruction and it creates or modifies resources in Platform by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs happ_report_schedule_set safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Platform, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For happ_report_schedule_set, this is the rule to start with:
happ_report_schedule_set 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 Platform, apply this rule, and every happ_report_schedule_set call is checked against it from then on.
Questions about happ_report_schedule_set
Ставит отчёт на расписание: раз в неделю или раз в месяц. КАЖДЫЙ выпуск разбирает разговоры периода и списывает кредиты — цена считается на момент запуска и зависит от объёма. Скажи об этом человеку до вызова. (POST /conversation-analytics/report-schedules). It is categorised as a Write tool in the Platform MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
happ_report_schedule_set accepts 8 parameters: hour, cadence, avgOrder, timezone, companyId, dayOfWeek, dayOfMonth, templateKey. Required: hour, cadence, companyId. The full parameter table on this page comes from the server's own tool schema.
Register the Platform MCP server in PolicyLayer and add a rule for happ_report_schedule_set: 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 Platform. Nothing to install.
happ_report_schedule_set 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 happ_report_schedule_set 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 happ_report_schedule_set. 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.
happ_report_schedule_set is provided by the Platform MCP server (@happ-ai/platform-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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