获取虚拟币的成交额信息 (Coinglass API)
AI agents call get_trade_amount to retrieve information from Crypto MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves trading volume or transaction amount data for cryptocurrencies—purely informational queries with no side effects, no ability to modify data, and no financial transactions. It matches the Read category pattern (fetch, query) and poses minimal risk as it only exposes public market data.
From the tool's definition Tool name 'get_trade_amount' and description '获取虚拟币的成交额信息' (Get virtual currency trading volume/amount information) indicate retrieval of market data.
Attacks that exploit this kind of access
获取虚拟币的成交额信息 (Coinglass API). It is categorised as a Read tool in the Crypto MCP MCP Server, which means it retrieves data without modifying state.
Register the Crypto MCP server in PolicyLayer and add a rule for get_trade_amount: 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 Crypto MCP. Nothing to install.
get_trade_amount 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_trade_amount 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_trade_amount. 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_trade_amount is provided by the Crypto MCP server (kiss-kedaya/crypto_mcp). 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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