auth_get_guard_usage

Get the guard class, import path, and decorator combo for a specific guard type.

Server LaunchFrame MCP launchframe-dev/mcp
Category Read
Risk class Low
Parameters 00 required

What auth_get_guard_usage does on LaunchFrame MCP

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

Why auth_get_guard_usage needs a policy

The tool retrieves project-specific implementation details (guard class, import path, decorator metadata) as part of the LaunchFrame scaffolding system. This is a read-only query with no side effects, consistent with other 'get' operations on the server like 'auth_get_overview' and 'architecture_get_overview'. There is no code execution, data modification, or destructive capability.

From the tool's definition Tool name contains 'get' and description states 'Get the guard class, import path, and decorator combo' — this is purely a retrieval operation that returns architectural information without modifying, executing, or deleting anything.

Questions about auth_get_guard_usage

What does the auth_get_guard_usage tool do? +

Get the guard class, import path, and decorator combo for a specific guard type. It is categorised as a Read tool in the LaunchFrame MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on auth_get_guard_usage? +

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

What risk level is auth_get_guard_usage? +

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

Can I rate-limit auth_get_guard_usage? +

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

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

auth_get_guard_usage is provided by the LaunchFrame MCP server (launchframe-dev/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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