get_active_model_tool

Return the currently active model (provider + id) or None.

Server Interview Prep shenmali/interview-mcp-first
Category Read
Risk class Low
Parameters 00 required

What get_active_model_tool does on Interview Prep

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

Why get_active_model_tool needs a policy

This is a straightforward read operation that queries and returns system configuration state without modifying, executing, or deleting anything. The blast radius of misuse is minimal—an attacker gains only knowledge of which AI model provider/version is active in the interview prep system, which does not enable data exfiltration, code execution, or destructive actions.

From the tool's definition Tool returns the currently active model configuration (provider + id) with no side effects. It purely retrieves state information via 'Return' language.

Questions about get_active_model_tool

What does the get_active_model_tool tool do? +

Return the currently active model (provider + id) or None. It is categorised as a Read tool in the Interview Prep MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_active_model_tool? +

Register the Interview Prep MCP server in PolicyLayer and add a rule for get_active_model_tool: 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 Interview Prep. Nothing to install.

What risk level is get_active_model_tool? +

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

Can I rate-limit get_active_model_tool? +

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

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

get_active_model_tool is provided by the Interview Prep MCP server (shenmali/interview-mcp-first). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

// THE FULL RECORD

get_active_model_tool is one line of Interview Prep's registry record.

The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

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