happ_test_cases_generate
LLM предлагает тест-кейсы по промпту/инструментам/базе знаний ассистента (ничего не сохраняет — сохраняйте выбранные через happ_test_case_create). instructions — фокус генерации, например описание бага от клиента.
This record as markdown: /tools/happ-ai-platform-mcp/happ-test-cases-generate.md
What happ_test_cases_generate does on Platform
AI agents call happ_test_cases_generate 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 |
|---|---|---|---|
count | integer | — | Сколько кейсов предложить (по умолчанию 5) |
assistantId | string | Yes | |
instructions | string | — | Фокус: что именно проверить/какой баг покрыть |
Parameters from the server's own tool schema.
Why happ_test_cases_generate is rated Low
The tool only generates and returns test case suggestions using the LLM based on the assistant's prompt/tools/knowledge base. It explicitly states it does not persist anything, making it a pure read/query operation with no side effects.
From the tool's definition ничего не сохраняет — сохраняйте выбранные через happ_test_case_create (saves nothing — save selected ones via happ_test_case_create)
Attacks that exploit this kind of access
The rule that runs happ_test_cases_generate 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_test_cases_generate, this is the rule to start with:
happ_test_cases_generate 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_test_cases_generate call is checked against it from then on.
Questions about happ_test_cases_generate
LLM предлагает тест-кейсы по промпту/инструментам/базе знаний ассистента (ничего не сохраняет — сохраняйте выбранные через happ_test_case_create). instructions — фокус генерации, например описание бага от клиента. It is categorised as a Read tool in the Platform MCP Server, which means it retrieves data without modifying state.
happ_test_cases_generate accepts 3 parameters: count, assistantId, instructions. Required: assistantId. 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_test_cases_generate: 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_test_cases_generate 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_test_cases_generate 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_test_cases_generate. 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_test_cases_generate 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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