Evaluate a chess position using Stockfish engine
AI agents invoke evaluate_chess_position to trigger actions in Chess Analysis Assistant. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool executes an external process (the Stockfish engine) to analyze a position. It is not a simple data retrieval; it triggers external computation. No data is written or deleted, and there are no financial implications, but it does run an external binary/engine, placing it in the Execute category.
From the tool's definition "Evaluate a chess position using Stockfish engine" — invokes an external chess engine (Stockfish) to perform computation
Documented attack patterns abuse exactly the kind of access evaluate_chess_position gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Chess Analysis Assistant, and nothing reaches the server without passing your rules. This is the rule we recommend for evaluate_chess_position:
{
"version": "1",
"default": "deny",
"tools": {
"evaluate_chess_position": {
"limits": [
{
"counter": "evaluate_chess_position_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}evaluate_chess_position stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Evaluate a chess position using Stockfish engine. It is categorised as a Execute tool in the Chess Analysis Assistant MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Chess Analysis Assistant MCP server in PolicyLayer and add a rule for evaluate_chess_position: 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 Chess Analysis Assistant. Nothing to install.
evaluate_chess_position 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 evaluate_chess_position 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 evaluate_chess_position. 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.
evaluate_chess_position is provided by the Chess Analysis Assistant MCP server (turlockmike/chess-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Chess Analysis Assistant, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
4 Chess Analysis Assistant tools catalogued and risk-classified — across an index of 43,000+ MCP servers.