AI agents use create_model to create or update resources in Anki MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Anki MCP Server environment.
This tool creates new data structures (note models) in Anki, which is a reversible write operation. While it modifies the user's Anki database by adding a new model, this change can be undone by deleting the model. It does not execute arbitrary code, delete data irreversibly, or involve financial transactions.
From the tool's definition The tool 'create_model' creates a new Anki note type (model), which is a data structure that defines the schema for flashcards. The description explicitly states it 'Creates a new Anki note type (model)'.
Documented attack patterns abuse exactly the kind of access create_model gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Anki MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for create_model:
{
"version": "1",
"default": "deny",
"tools": {
"create_model": {
"limits": [
{
"counter": "create_model_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}create_model 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.
Creates a new Anki note type (model). It is categorised as a Write tool in the Anki MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Anki MCP Server MCP server in PolicyLayer and add a rule for create_model: 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 Anki MCP Server. Nothing to install.
create_model 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 create_model 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 create_model. 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.
create_model is provided by the Anki MCP Server MCP server (nietus/anki-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 22 Anki MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
22 Anki MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.