Compare performance metrics between multiple users
AI agents call bitrix24_compare_user_performance to retrieve information from Bitrix24 MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool compares performance metrics, which is a read/analytical operation that retrieves and presents data without modifying, executing, or deleting anything. It has low severity as it only reads aggregated user performance data.
From the tool's definition Compare performance metrics between multiple users
Attacks that exploit this kind of access
Compare performance metrics between multiple users. It is categorised as a Read tool in the Bitrix24 MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Bitrix24 MCP Server MCP server in PolicyLayer and add a rule for bitrix24_compare_user_performance: 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 Bitrix24 MCP Server. Nothing to install.
bitrix24_compare_user_performance 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 bitrix24_compare_user_performance 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 bitrix24_compare_user_performance. 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.
bitrix24_compare_user_performance is provided by the Bitrix24 MCP Server MCP server (maxli53/mcp_bitrix). 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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