通过组合现有思维模型的关键概念和特性来创建新的思维模型
AI agents use emergent-model-design to create or update resources in Tianji — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Tianji environment.
This tool creates a new thinking model by combining existing ones. Creation of new persistent data (a new model entity) is a Write operation. It is not Destructive or Financial, and while it 'executes' a combination process, the primary effect is creating/writing a new model artifact. Severity is medium since a misused AI agent could flood the system with spurious models or produce misleading frameworks.
From the tool's definition 通过组合现有思维模型的关键概念和特性来创建新的思维模型 (creates new thinking models by combining concepts from existing models)
Documented attack patterns abuse exactly the kind of access emergent-model-design 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 emergent-model-design:
{
"version": "1",
"default": "deny",
"tools": {
"emergent-model-design": {
"limits": [
{
"counter": "emergent-model-design_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}emergent-model-design stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
Free to start. No card required.
通过组合现有思维模型的关键概念和特性来创建新的思维模型. It is categorised as a Write tool in the Tianji MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Tianji MCP server in PolicyLayer and add a rule for emergent-model-design: 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.
emergent-model-design is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the emergent-model-design 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 emergent-model-design. 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.
emergent-model-design 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.