This record as markdown: /tools/io-github-dreamrec-livepilot/grader-evaluate-all.md
What grader_evaluate_all does on Livepilot
AI agents call grader_evaluate_all to retrieve information from Livepilot without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why grader_evaluate_all is rated Low
Even though grader_evaluate_all 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.
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
The rule that runs grader_evaluate_all safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Livepilot, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For grader_evaluate_all, this is the rule to start with:
grader_evaluate_all is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Livepilot, apply this rule, and every grader_evaluate_all call is checked against it from then on.
Questions about grader_evaluate_all
grader_evaluate_all is a read tool on the Livepilot MCP server. It is categorised as a Read tool in the Livepilot MCP Server, which means it retrieves data without modifying state.
Register the Livepilot MCP server in PolicyLayer and add a rule for grader_evaluate_all: 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.
grader_evaluate_all is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the grader_evaluate_all 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.
Set action: deny in the PolicyLayer policy for grader_evaluate_all. 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.
grader_evaluate_all 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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