AI agents call search-models to retrieve information from Tianji without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool retrieves or searches for data within an existing model repository without modifying, executing, or deleting anything. It is a pure query operation with no side effects, fitting the Read category. Low severity because misuse would only retrieve information the user likely has legitimate access to.
From the tool's definition Tool name 'search-models' and description indicate text search functionality within thinking models: '在指定语言的思维模型中根据关键词进行文本搜索' (search by keywords in thinking models of specified language). This performs queries/retrieval only.
Documented attack patterns abuse exactly the kind of access search-models gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Tianji, and nothing reaches the server without passing your rules. This is the rule we recommend for search-models:
{
"version": "1",
"default": "deny",
"tools": {
"search-models": {}
}
}search-models is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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在指定语言的思维模型中根据关键词进行文本搜索. It is categorised as a Read tool in the Tianji MCP Server, which means it retrieves data without modifying state.
Register the Tianji MCP server in PolicyLayer and add a rule for search-models: 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 Tianji. Nothing to install.
search-models 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-models 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-models. 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-models is provided by the Tianji MCP server (lanyijianke/thinking_models_mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Tianji, 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.
19 Tianji tools catalogued and risk-classified — across an index of 43,000+ MCP servers.