happ_analysis_run
Запускает LLM-анализ конкретного чата или звонка. targetId — id чата или звонка. (POST /conversation-analytics/analyses/run)
This record as markdown: /tools/happ-ai-platform-mcp/happ-analysis-run.md
What happ_analysis_run does on Platform
AI agents invoke happ_analysis_run to trigger actions in Platform. 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 |
|---|---|---|---|
targetId | string | Yes | ID чата или звонка |
companyId | string | Yes | ID компании |
monitorIds | array | — | Какими мониторами анализировать |
targetType | string | Yes | Тип цели |
Parameters from the server's own tool schema.
Why happ_analysis_run is rated High
happ_analysis_run triggers real processes with real consequences. An agent gone sideways doesn't fire it once. It starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.
Attacks that exploit this kind of access
The rule that runs happ_analysis_run 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_analysis_run, this is the rule to start with:
happ_analysis_run 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 Platform, apply this rule, and every happ_analysis_run call is checked against it from then on.
Questions about happ_analysis_run
Запускает LLM-анализ конкретного чата или звонка. targetId — id чата или звонка. (POST /conversation-analytics/analyses/run). It is categorised as a Execute tool in the Platform MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
happ_analysis_run accepts 4 parameters: targetId, companyId, monitorIds, targetType. Required: targetId, companyId, targetType. 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_analysis_run: 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_analysis_run 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 happ_analysis_run 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_analysis_run. 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_analysis_run 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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