Send a natural-language prompt to the Prowpt AI assistant to modify the app (uses Prowpt AI credits). Over stdio (Cursor/Claude Code) this blocks until completion (up to 5 minutes). Over HTTP (Claude.ai/ChatGPT connectors) it returns a run_id immediately; poll get_assistant_status(run_id=...) unt...
AI agents invoke send_prompt to trigger actions in Prowpt MCP Server. 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.
This tool triggers an AI assistant to modify an application based on arbitrary natural-language instructions. The effects depend entirely on the prompt content and can include creating, editing, or publishing web app components — spanning Write and potentially Destructive actions. Since the outcome is determined by the argument and can include broad application modifications, Execute is the most appropriate category.
From the tool's definition Send a natural-language prompt to the Prowpt AI assistant to modify the app
Attacks that exploit this kind of access
Send a natural-language prompt to the Prowpt AI assistant to modify the app (uses Prowpt AI credits). Over stdio (Cursor/Claude Code) this blocks until completion (up to 5 minutes). Over HTTP (Claude.ai/ChatGPT connectors) it returns a run_id immediately; poll get_assistant_status(run_id=...) until status is. It is categorised as a Execute tool in the Prowpt MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Prowpt MCP Server MCP server in PolicyLayer and add a rule for send_prompt: 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 Prowpt MCP Server. Nothing to install.
send_prompt 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 send_prompt 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 send_prompt. 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.
send_prompt is provided by the Prowpt MCP Server MCP server (prowptai/prowpt-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
Teams ship this data inside their own products. See what a licence covers →