Gets the list of field names for the provided model name.
AI agents call modelFieldNames to retrieve information from Anki without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns metadata about an Anki model's field structure. It performs no modifications, deletions, or external operations—purely informational retrieval. The minimal blast radius and read-only nature place this squarely in the Read category with low severity.
From the tool's definition Tool name 'modelFieldNames' and description 'Gets the list of field names for the provided model name' indicate a retrieval operation with no side effects.
Documented attack patterns abuse exactly the kind of access modelFieldNames gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Anki, and nothing reaches the server without passing your rules. This is the rule we recommend for modelFieldNames:
{
"version": "1",
"default": "deny",
"tools": {
"modelFieldNames": {}
}
}modelFieldNames is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Gets the list of field names for the provided model name. It is categorised as a Read tool in the Anki MCP Server, which means it retrieves data without modifying state.
Register the Anki MCP server in PolicyLayer and add a rule for modelFieldNames: 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.
modelFieldNames 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 modelFieldNames 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 modelFieldNames. 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.
modelFieldNames is provided by the Anki MCP server (ujisati/anki-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Anki, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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40 Anki tools catalogued and risk-classified — across an index of 43,000+ MCP servers.