get_commands

Get command usage analytics: which Cursor commands are being used and how often.

Server Cursor Usage ofershap/cursor-usage
Category Read
Risk class Low
Parameters 00 required

What get_commands does on Cursor Usage

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

Why get_commands needs a policy

This tool retrieves usage metrics about command invocations—a read-only query with no side effects. It poses minimal risk; the worst outcome of misuse would be exposure of aggregate usage statistics. There are no write, execute, destructive, or financial operations involved.

From the tool's definition Tool name 'get_commands' and description 'Get command usage analytics: which Cursor commands are being used and how often' indicate a query/retrieval operation with no modifications.

Questions about get_commands

What does the get_commands tool do? +

Get command usage analytics: which Cursor commands are being used and how often. It is categorised as a Read tool in the Cursor Usage MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_commands? +

Register the Cursor Usage MCP server in PolicyLayer and add a rule for get_commands: 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 Cursor Usage. Nothing to install.

What risk level is get_commands? +

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

Can I rate-limit get_commands? +

Yes. Add a rate_limit block to the get_commands 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_commands completely? +

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

get_commands is provided by the Cursor Usage MCP server (ofershap/cursor-usage). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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