This record as markdown: /tools/io-github-arielbk-anki-mcp/create-model.md
What create_model does on Anki
AI agents use create_model to create or update resources in Anki, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Anki environment.
Why create_model is rated Medium
Creating a model (note type template) in Anki is a Write operation—it creates new data structures that persist and affect how cards are generated and displayed. While reversible through deletion, model creation modifies the database schema. It is not Destructive (doesn't delete), Execute (doesn't run arbitrary code), Financial, or Read.
From the tool's definition Tool name 'create_model' on Anki MCP server indicates creation of note models, which are template structures in Anki used to define card layouts and fields. This is a write operation that modifies Anki's database structure.
Attacks that exploit this kind of access
The rule that runs create_model safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Anki, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For create_model, this is the rule to start with:
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.
The button opens the PolicyLayer dashboard: create your workspace, connect Anki, apply this rule, and every create_model call is checked against it from then on.
Questions about create_model
create_model is a write tool on the Anki MCP server. It is categorised as a Write tool in the Anki MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Anki 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. 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 (@arielbk/anki-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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