get_miditool_context

get_miditool_context

Server Livepilot livepilot
Category Read
Risk class Low
Parameters 00 required

What get_miditool_context does on Livepilot

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

Why get_miditool_context needs a policy

Even though get_miditool_context only reads data, uncontrolled read access leaks sensitive information and racks up API costs — an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Questions about get_miditool_context

What does the get_miditool_context tool do? +

get_miditool_context. It is categorised as a Read tool in the Livepilot MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_miditool_context? +

Register the Livepilot MCP server in PolicyLayer and add a rule for get_miditool_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 Livepilot. Nothing to install.

What risk level is get_miditool_context? +

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

Can I rate-limit get_miditool_context? +

Yes. Add a rate_limit block to the get_miditool_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 get_miditool_context completely? +

Set action: deny in the PolicyLayer policy for get_miditool_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 get_miditool_context? +

get_miditool_context is provided by the Livepilot MCP server (livepilot). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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