AI agents call get_pattern to retrieve information from J Quants Doc without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves documentation or reference information about implementation patterns. It performs a query operation that returns data without modifying, deleting, or executing anything. The Read category is appropriate for informational lookups. Severity is low because even if an AI agent misuses this tool, it can only retrieve existing pattern documentation, posing minimal risk.
From the tool's definition Tool name 'get_pattern' and description '実装パターン情報を取得する' (retrieve implementation pattern information) indicates data retrieval with no side effects.
Documented attack patterns abuse exactly the kind of access get_pattern gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and J Quants Doc, and nothing reaches the server without passing your rules. This is the rule we recommend for get_pattern:
{
"version": "1",
"default": "deny",
"tools": {
"get_pattern": {}
}
}get_pattern is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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実装パターン情報を取得する。. It is categorised as a Read tool in the J Quants Doc MCP Server, which means it retrieves data without modifying state.
Register the J Quants Doc MCP server in PolicyLayer and add a rule for get_pattern: 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 J Quants Doc. Nothing to install.
get_pattern 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_pattern 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_pattern. 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_pattern is provided by the J Quants Doc MCP server (j-quants/j-quants-doc-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from J Quants Doc, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
7 J Quants Doc tools catalogued and risk-classified — across an index of 43,000+ MCP servers.