This record as markdown: /tools/io-github-arielbk-anki-mcp/update-model-styling.md
What update_model_styling does on Anki
AI agents use update_model_styling 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 update_model_styling is rated Medium
This tool modifies Anki model styling—a configuration that affects card appearance and behavior across potentially many cards, but changes are reversible. It does not delete data (Destructive), execute arbitrary code (Execute), or move money (Financial). The impact scope is moderate since styling changes could affect card usability if misconfigured, warranting medium severity.
From the tool's definition Tool name 'update_model_styling' indicates modification of Anki model styling configuration. Sibling tools like 'add_note', 'add_notes', 'add_tags_to_notes' establish this server's write-oriented nature.
Attacks that exploit this kind of access
The rule that runs update_model_styling 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 update_model_styling, this is the rule to start with:
update_model_styling 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 update_model_styling call is checked against it from then on.
Questions about update_model_styling
update_model_styling 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 update_model_styling: 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.
update_model_styling 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 update_model_styling 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 update_model_styling. 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.
update_model_styling 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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