server_stats
AI agents call server_stats to retrieve information from Model Radar without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool appears to retrieve server statistics without modifying state or triggering external operations. The naming pattern and lack of destructive/write indicators (no verbs like 'update', 'delete', 'run') point to a read operation. Confidence is moderate due to empty description; if this actually modifies server configuration or triggers measurements with side effects, severity could increase.
From the tool's definition Tool name 'server_stats' and its position among sibling tools (ask, get_fastest, benchmark, compare) suggest it retrieves statistical information.
Attacks that exploit this kind of access
server_stats. It is categorised as a Read tool in the Model Radar MCP Server, which means it retrieves data without modifying state.
Register the Model Radar MCP server in PolicyLayer and add a rule for server_stats: 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 Model Radar. Nothing to install.
server_stats 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 server_stats 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 server_stats. 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.
server_stats is provided by the Model Radar MCP server (srclight/model-radar). 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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