happ_conversations_analyze_estimate
Считает, сколько диалогов попадёт в анализ по фильтрам, у скольких есть текст, и сколько это будет стоить (модель gpt-4.1 читает расшифровки целиком). Без LLM и без списаний. Вызывай ПЕРЕД happ_conversations_analyze и называй человеку размер выборки и оценку стоимости в карточке подтверждения (пе...
This record as markdown: /tools/happ-ai-platform-mcp/happ-conversations-analyze-estimate.md
What happ_conversations_analyze_estimate does on Platform
AI agents call happ_conversations_analyze_estimate to retrieve information from Platform without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
type | string | — | Что читать: все / только чаты / только звонки (по умолчанию все) |
limit | integer | — | Сколько последних диалогов взять (по умолчанию 50, максимум 200) |
dateTo | string | — | ISO-дата конца периода |
search | string | — | Поиск по контакту (имя, телефон, ник) |
agentId | string | — | Только диалоги этого ассистента |
channel | string | — | Канал: telegram, whatsapp, instagram, widget, phone… |
outcome | string | — | Исход звонка (сужает выборку до звонков): failed — упавшие, no_answer — без ответа |
dateFrom | string | — | ISO-дата начала периода |
companyId | string | Yes | ID компании |
durationMax | integer | — | Макс. длительность звонка, сек |
durationMin | integer | — | Мин. длительность звонка, сек |
Parameters from the server's own tool schema.
Why happ_conversations_analyze_estimate is rated Low
Even though happ_conversations_analyze_estimate only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Risk signalsHigh parameter count (11 properties)
Attacks that exploit this kind of access
The rule that runs happ_conversations_analyze_estimate 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_conversations_analyze_estimate, this is the rule to start with:
happ_conversations_analyze_estimate is read-only, so it stays allowed. 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_conversations_analyze_estimate call is checked against it from then on.
Questions about happ_conversations_analyze_estimate
Считает, сколько диалогов попадёт в анализ по фильтрам, у скольких есть текст, и сколько это будет стоить (модель gpt-4.1 читает расшифровки целиком). Без LLM и без списаний. Вызывай ПЕРЕД happ_conversations_analyze и называй человеку размер выборки и оценку стоимости в карточке подтверждения (передай их в sampleCount/estimatedCostUsd). (POST /conversation-analytics/ad-hoc (dryRun)). It is categorised as a Read tool in the Platform MCP Server, which means it retrieves data without modifying state.
happ_conversations_analyze_estimate accepts 11 parameters: type, limit, dateTo, search, agentId, channel, outcome, dateFrom, companyId, durationMax, durationMin. Required: 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_conversations_analyze_estimate: 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_conversations_analyze_estimate 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 happ_conversations_analyze_estimate 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_conversations_analyze_estimate. 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_conversations_analyze_estimate 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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