获取思维模型的使用统计数据
AI agents call get-model-usage-stats to retrieve information from Tianji without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries usage statistics about thinking models. It is a passive read operation that extracts existing data without creating, modifying, deleting, or executing any code. There is no destructive, financial, or execute-class behavior. The low severity reflects the minimal risk from retrieving statistical metadata.
From the tool's definition Tool name 'get-model-usage-stats' and description '获取思维模型的使用统计数据' (retrieve usage statistics for thinking models) indicate a data retrieval operation with no modification or side effects.
Documented attack patterns abuse exactly the kind of access get-model-usage-stats gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Tianji, and nothing reaches the server without passing your rules. This is the rule we recommend for get-model-usage-stats:
{
"version": "1",
"default": "deny",
"tools": {
"get-model-usage-stats": {}
}
}get-model-usage-stats is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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获取思维模型的使用统计数据. It is categorised as a Read tool in the Tianji MCP Server, which means it retrieves data without modifying state.
Register the Tianji MCP server in PolicyLayer and add a rule for get-model-usage-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 Tianji. Nothing to install.
get-model-usage-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 get-model-usage-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 get-model-usage-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.
get-model-usage-stats is provided by the Tianji MCP server (lanyijianke/thinking_models_mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Tianji, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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19 Tianji tools catalogued and risk-classified — across an index of 43,000+ MCP servers.