list_sports
AI agents call list_sports to retrieve information from Polymarket without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool appears to list sports data from Polymarket, which is a data retrieval operation with no side effects. The server is explicitly described as 'read-only' and all sibling tools are fetch/query operations. No evidence of write, execute, destructive, or financial operations.
From the tool's definition Tool named 'list_sports' on a 'read-only interface' server; sibling tools (get_activity, get_book, get_books, get_positions, get_price, etc.) all follow retrieval patterns.
Attacks that exploit this kind of access
list_sports. It is categorised as a Read tool in the Polymarket MCP Server, which means it retrieves data without modifying state.
Register the Polymarket MCP server in PolicyLayer and add a rule for list_sports: 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 Polymarket. Nothing to install.
list_sports 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 list_sports 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 list_sports. 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.
list_sports is provided by the Polymarket MCP server (pr1m8/polymarket-mcp). 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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