Get all currently live events across all sports, optionally filtered by sport.
AI agents call get_live_events to retrieve information from Odds-API MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries live event data from a sports betting odds API. It has no side effects—it does not create, modify, delete, or execute operations. The optional sport filter is a read parameter. Even in a financial context (sports betting), merely accessing odds/event data carries no financial obligation or money movement.
From the tool's definition Tool name 'get_live_events' and description 'Get all currently live events across all sports' indicate a retrieval operation with no modification, deletion, or execution of code/commands.
Attacks that exploit this kind of access
Get all currently live events across all sports, optionally filtered by sport. It is categorised as a Read tool in the Odds-API MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Odds-API MCP Server MCP server in PolicyLayer and add a rule for get_live_events: 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 Odds-API MCP Server. Nothing to install.
get_live_events 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 get_live_events 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 get_live_events. 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.
get_live_events is provided by the Odds-API MCP Server MCP server (odds-api-io/odds-api-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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