AI agents call get_rider_best_results to retrieve information from FirstCycling 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 historical cycling performance data about riders. The naming pattern and context of sibling tools strongly suggest it queries and returns cyclist statistics without modifying or executing any operations. No side effects are implied. Confidence is moderate-high despite empty description because the naming convention and server architecture provide sufficient context.
From the tool's definition Tool name 'get_rider_best_results' indicates a retrieval operation. All sibling tools on this server (get_race_details, get_race_edition_results, get_rider_info, get_rider_race_history, etc.) are Read operations that query cycling data.
Documented attack patterns abuse exactly the kind of access get_rider_best_results gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and FirstCycling MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_rider_best_results:
{
"version": "1",
"default": "deny",
"tools": {
"get_rider_best_results": {}
}
}get_rider_best_results is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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get_rider_best_results. It is categorised as a Read tool in the FirstCycling MCP Server MCP Server, which means it retrieves data without modifying state.
Register the FirstCycling MCP Server MCP server in PolicyLayer and add a rule for get_rider_best_results: 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 FirstCycling MCP Server. Nothing to install.
get_rider_best_results 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_rider_best_results 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_rider_best_results. 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_rider_best_results is provided by the FirstCycling MCP Server MCP server (r-huijts/firstcycling-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from FirstCycling 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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18 FirstCycling MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.