解析炉石传说卡组代码，返回详细的卡组信息，包括卡牌详情和封面图
AI agents call parse_deck_code to retrieve information from Hearthstone Decks without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool decodes a Hearthstone deck code and returns information (card details, images, mana curve statistics). It only reads/parses data and has no side effects on any external system. Misuse potential is minimal.
From the tool's definition 解析炉石传说卡组代码，返回详细的卡组信息，包括卡牌详情和封面图 — 'parse' and 'returns detailed deck information including card details and cover image' indicates read-only data retrieval
Attacks that exploit this kind of access
解析炉石传说卡组代码，返回详细的卡组信息，包括卡牌详情和封面图. It is categorised as a Read tool in the Hearthstone Decks MCP Server, which means it retrieves data without modifying state.
Register the Hearthstone Decks MCP server in PolicyLayer and add a rule for parse_deck_code: 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 Hearthstone Decks. Nothing to install.
parse_deck_code 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 parse_deck_code 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 parse_deck_code. 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.
parse_deck_code is provided by the Hearthstone Decks MCP server (yinshawnrao/hearthstone-decks-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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