detect_frontend_context

CALL THIS TOOL AUTOMATICALLY at the start of any coding session or when the user opens

Server Looba looba-snippet/looba-mcp
Category Read
Risk class Low
Parameters 00 required

What detect_frontend_context does on Looba

AI agents call detect_frontend_context to retrieve information from Looba without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why detect_frontend_context needs a policy

This tool appears to detect or retrieve frontend context information to facilitate snippet discovery within a read-only design platform. The instruction to call it 'automatically at the start of any coding session' suggests it gathers environmental metadata rather than performing mutations or executing code. No destructive, financial, or write operations are indicated.

From the tool's definition Tool name 'detect_frontend_context' and server description indicate read-only access to Looba platform for 'discovery' and 'integration into frontend projects'. No evidence of data modification, deletion, or external execution capabilities.

Questions about detect_frontend_context

What does the detect_frontend_context tool do? +

CALL THIS TOOL AUTOMATICALLY at the start of any coding session or when the user opens. It is categorised as a Read tool in the Looba MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on detect_frontend_context? +

Register the Looba MCP server in PolicyLayer and add a rule for detect_frontend_context: 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 Looba. Nothing to install.

What risk level is detect_frontend_context? +

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

Can I rate-limit detect_frontend_context? +

Yes. Add a rate_limit block to the detect_frontend_context 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 detect_frontend_context completely? +

Set action: deny in the PolicyLayer policy for detect_frontend_context. 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 detect_frontend_context? +

detect_frontend_context is provided by the Looba MCP server (looba-snippet/looba-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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