AI agents call analyze_candle_patterns to retrieve information from Bitbank without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Even though analyze_candle_patterns only reads data, uncontrolled read access leaks sensitive information and racks up API costs — an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
[Candlestick Patterns / Doji / Engulfing] ローソク足パターン検出（candle patterns / doji / engulfing / hammer / harami）。1〜3本足パターンを検出し文脈と過去統計を付けて解説。. It is categorised as a Read tool in the Bitbank MCP Server, which means it retrieves data without modifying state.
Register the Bitbank MCP server in PolicyLayer and add a rule for analyze_candle_patterns: 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 Bitbank. Nothing to install.
analyze_candle_patterns 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 analyze_candle_patterns 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 analyze_candle_patterns. 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.
analyze_candle_patterns is provided by the Bitbank MCP server (tjackiet/bitbank-lab-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.