查询本月所有账号的使用统计，包括费用、请求数、Token数等
AI agents call query_monthly_stats to retrieve information from Claude Stats MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and retrieves statistical data about account usage without creating, modifying, or deleting any information. It performs analysis and reporting on existing data, which is characteristic of a Read category tool. The low severity reflects minimal blast radius if an AI agent accesses this tool—it can only retrieve usage statistics without side effects or ability to alter data.
From the tool's definition Tool description indicates "query" operation that retrieves monthly usage statistics (fees, requests, tokens) without modification. The description uses the verb "查询" (query/retrieve in Chinese), indicating a read-only data retrieval operation.
Attacks that exploit this kind of access
查询本月所有账号的使用统计，包括费用、请求数、Token数等. It is categorised as a Read tool in the Claude Stats MCP MCP Server, which means it retrieves data without modifying state.
Register the Claude Stats MCP server in PolicyLayer and add a rule for query_monthly_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 Claude Stats MCP. Nothing to install.
query_monthly_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 query_monthly_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 query_monthly_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.
query_monthly_stats is provided by the Claude Stats MCP server (upjiang/ai-mcp-study). 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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