Retrieves the fields, card templates, and CSS styling for a specified note type.
AI agents call get_model_details to retrieve information from Anki MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs information retrieval on Anki note type configuration. 'Retrieves' explicitly indicates a read operation with no side effects. The data returned (fields, templates, CSS) is configuration metadata, not user-sensitive data. There is minimal risk of misuse—an AI agent retrieving this information cannot cause harm to data or system state. This is a standard Read classification.
From the tool's definition Tool name 'get_model_details' and description 'Retrieves the fields, card templates, and CSS styling' indicate a read-only operation that queries metadata about a note type without modifying any data.
Documented attack patterns abuse exactly the kind of access get_model_details 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 get_model_details:
{
"version": "1",
"default": "deny",
"tools": {
"get_model_details": {}
}
}get_model_details is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Retrieves the fields, card templates, and CSS styling for a specified note type. It is categorised as a Read tool in the Anki MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Anki MCP Server MCP server in PolicyLayer and add a rule for get_model_details: 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.
get_model_details 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 get_model_details 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 get_model_details. 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.
get_model_details 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.