Get prediction market event history.
AI agents call get_market_events to retrieve information from Basis MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and retrieves event history from prediction markets without creating, modifying, deleting, or executing any operations. It is a read-only data retrieval operation with minimal risk of misuse.
From the tool's definition Tool name 'get_market_events' and description 'Get prediction market event history' indicate retrieval of historical data with no modification or side effects.
Attacks that exploit this kind of access
Get prediction market event history. It is categorised as a Read tool in the Basis MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Basis MCP Server MCP server in PolicyLayer and add a rule for get_market_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 Basis MCP Server. Nothing to install.
get_market_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_market_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_market_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_market_events is provided by the Basis MCP Server MCP server (launch-on-basis/mcp-ts). 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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