Evaluate prompt quality with deterministic scoring, blockers, and targeted improvement questions.
AI agents call prompt_quality_gate to retrieve information from MCP SAPUI5 Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool reads/analyzes a prompt and returns a quality assessment with scores and feedback. It performs evaluation only — no data is written, deleted, or executed. It produces output (scores, blockers, questions) based on input analysis, making it a Read/query operation. Severity is low as misuse would at most produce misleading quality assessments.
From the tool's definition Evaluate prompt quality with deterministic scoring, blockers, and targeted improvement questions
Attacks that exploit this kind of access
Evaluate prompt quality with deterministic scoring, blockers, and targeted improvement questions. It is categorised as a Read tool in the MCP SAPUI5 Server MCP Server, which means it retrieves data without modifying state.
Register the MCP SAPUI5 Server MCP server in PolicyLayer and add a rule for prompt_quality_gate: 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 MCP SAPUI5 Server. Nothing to install.
prompt_quality_gate 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 prompt_quality_gate 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 prompt_quality_gate. 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.
prompt_quality_gate is provided by the MCP SAPUI5 Server MCP server (santiagosanmartinn/mcpui5server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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