Search events with nested markets by title or ticker.
AI agents call search_events to retrieve information from DFlow MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a search/query operation to retrieve event information from the prediction market. It only reads data based on search parameters (title or ticker) and returns results. There are no side effects, modifications, deletions, code execution, or financial transactions involved. The operation is purely informational retrieval, fitting the 'Read' category.
From the tool's definition Tool name 'search_events' and description 'Search events with nested markets by title or ticker' indicate a query operation that retrieves data without modifying it.
Documented attack patterns abuse exactly the kind of access search_events gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and DFlow MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for search_events:
{
"version": "1",
"default": "deny",
"tools": {
"search_events": {}
}
} search_events is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Search events with nested markets by title or ticker. It is categorised as a Read tool in the DFlow MCP Server MCP Server, which means it retrieves data without modifying state.
Register the DFlow MCP Server MCP server in PolicyLayer and add a rule for search_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 DFlow MCP Server. Nothing to install.
search_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 search_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 search_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.
search_events is provided by the DFlow MCP Server MCP server (opensvm/dflow-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from DFlow MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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24 DFlow MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.