performance_analyze_insight

A read tool on the Unreal- MCP server.

SERVERUnreal-MCP SOURCEaadeshrao123/unreal-mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/aadeshrao123-unreal-mcp/performance-analyze-insight.md

WHAT IT DOES

What performance_analyze_insight does on Unreal-MCP

AI agents call performance_analyze_insight to retrieve information from Unreal-MCP without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why performance_analyze_insight is rated Low

The name implies analyzing performance metrics and surfacing insights, which is typically a read operation. However, with no description available, there is uncertainty about whether this tool might trigger profiling runs (Execute) or modify settings. Defaulting to Read based on naming convention, with lowered confidence due to missing description.

From the tool's definition Tool name 'performance_analyze_insight' suggests reading/querying performance data, but description is empty and uninformative.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs performance_analyze_insight safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Unreal-MCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For performance_analyze_insight, this is the rule to start with:

performance_analyze_insight Allowed

performance_analyze_insight is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "performance_analyze_insight": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Unreal-MCP, apply this rule, and every performance_analyze_insight call is checked against it from then on.

FAQ

Questions about performance_analyze_insight

What does the performance_analyze_insight tool do? +

performance_analyze_insight is a read tool on the Unreal MCP server. It is categorised as a Read tool in the Unreal-MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on performance_analyze_insight? +

Register the Unreal MCP server in PolicyLayer and add a rule for performance_analyze_insight: 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 Unreal-MCP. Nothing to install.

What risk level is performance_analyze_insight? +

performance_analyze_insight is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit performance_analyze_insight? +

Yes. Add a rate_limit block to the performance_analyze_insight 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.

How do I block performance_analyze_insight completely? +

Set action: deny in the PolicyLayer policy for performance_analyze_insight. 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.

What MCP server provides performance_analyze_insight? +

performance_analyze_insight is provided by the Unreal MCP server (aadeshrao123/unreal-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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