AI agents call chess_puzzle to retrieve information from Chess MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and presents a chess puzzle position to the user—a read-only operation with no side effects. It does not modify game state, execute commands, or affect external systems. The worst-case misuse scenario is simply loading unwanted puzzle content, which presents minimal risk.
From the tool's definition Tool name 'chess_puzzle' and description 'Load a mate-in-one puzzle position' indicates retrieval of a puzzle state for educational purposes. No data is created, modified, deleted, or executed.
Attacks that exploit this kind of access
Load a mate-in-one puzzle position for the user to solve. It is categorised as a Read tool in the Chess MCP MCP Server, which means it retrieves data without modifying state.
Register the Chess MCP server in PolicyLayer and add a rule for chess_puzzle: 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 MCP. Nothing to install.
chess_puzzle 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 chess_puzzle 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 chess_puzzle. 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.
chess_puzzle is provided by the Chess MCP server (jerelvelarde/chessmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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