AI agents call search_items to retrieve information from Doctah-MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool searches and retrieves Arknights game item data. Even though it is not yet implemented and returns a placeholder, its intended purpose is purely informational—querying/searching for item information without modifying, executing code, or causing destructive operations. This aligns with the 'Read' category for retrieval operations.
From the tool's definition Tool name 'search_items' and description indicate a search function for retrieving game item information. The description states '暂未实现,返回占位符' (not yet implemented, returns placeholder), confirming this is a read-only retrieval function with no side effects.
Documented attack patterns abuse exactly the kind of access search_items gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Doctah-MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for search_items:
{
"version": "1",
"default": "deny",
"tools": {
"search_items": {}
}
} search_items is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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搜索道具信息(暂未实现,返回占位符). It is categorised as a Read tool in the Doctah-MCP MCP Server, which means it retrieves data without modifying state.
Register the Doctah- MCP server in PolicyLayer and add a rule for search_items: 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 Doctah-MCP. Nothing to install.
search_items 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 search_items 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 search_items. 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.
search_items is provided by the Doctah- MCP server (tonybotni/doctah-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Doctah-MCP, 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.
14 Doctah-MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.