happ_test_suggest_prompt_fix
LLM-советник предлагает точечные правки промпта по проваленному результату. Правку промпта применяйте через happ_assistant_update ТОЛЬКО после подтверждения человеком. (POST /assistants/:assistantId/test-runs/:runId/results/:resultId/suggest-prompt-fix)
This record as markdown: /tools/happ-ai-platform-mcp/happ-test-suggest-prompt-fix.md
What happ_test_suggest_prompt_fix does on Platform
AI agents call happ_test_suggest_prompt_fix 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 |
|---|---|---|---|
runId | string | Yes | |
resultId | string | Yes | |
assistantId | string | Yes |
Parameters from the server's own tool schema.
Why happ_test_suggest_prompt_fix is rated Low
Even though happ_test_suggest_prompt_fix 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.
Attacks that exploit this kind of access
The rule that runs happ_test_suggest_prompt_fix 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_suggest_prompt_fix, this is the rule to start with:
happ_test_suggest_prompt_fix 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_suggest_prompt_fix call is checked against it from then on.
Questions about happ_test_suggest_prompt_fix
LLM-советник предлагает точечные правки промпта по проваленному результату. Правку промпта применяйте через happ_assistant_update ТОЛЬКО после подтверждения человеком. (POST /assistants/:assistantId/test-runs/:runId/results/:resultId/suggest-prompt-fix). It is categorised as a Read tool in the Platform MCP Server, which means it retrieves data without modifying state.
happ_test_suggest_prompt_fix accepts 3 parameters: runId, resultId, assistantId. Required: runId, resultId, 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_suggest_prompt_fix: 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_suggest_prompt_fix 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_suggest_prompt_fix 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_suggest_prompt_fix. 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_suggest_prompt_fix 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.
More on Platform, and thousands of servers like it.
This server
Across the catalogue