Single-variant performance + best rated game for a user.
Part of the Lichess server.
Free to start. No card required.
AI agents invoke user_performance to trigger processes or run actions in Lichess. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.
user_performance can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.
Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.
{
"version": "1",
"default": "deny",
"tools": {
"user_performance": {
"limits": [
{
"counter": "user_performance_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}See the full Lichess policy for all 30 tools.
These attack patterns abuse exactly the kind of access user_performance gives an agent. Each links to the full case and the policy that stops it:
Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Single-variant performance + best rated game for a user.. It is categorised as a Execute tool in the Lichess MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Lichess MCP server in PolicyLayer and add a rule for user_performance: 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 Lichess. Nothing to install.
user_performance is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the user_performance 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 user_performance. 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.
user_performance is provided by the Lichess MCP server (https://gateway.pipeworx.io/lichess/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 30 Lichess tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
4,600+ MCP servers and 31,000+ tools scanned and risk-classified.