Low Risk

modelNamesAndIds

Gets the complete list of model (note type) names and their IDs. Returns a dictionary mapping model names to IDs.

How to control modelNamesAndIds ↓

What modelNamesAndIds does on Anki

AI agents call modelNamesAndIds 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.

Low Risk

Why modelNamesAndIds needs a policy

This tool retrieves metadata about existing Anki models without any side effects. It queries and returns information (names and IDs) without creating, modifying, deleting, or executing any operations. This is a straightforward Read operation with minimal security risk.

From the tool's definition Tool 'modelNamesAndIds' with description 'Gets the complete list of model (note type) names and their IDs. Returns a dictionary mapping model names to IDs.' — uses 'Gets' and 'Returns', indicating pure data retrieval with no modification or execution.

Documented attack patterns abuse exactly the kind of access modelNamesAndIds gives an agent:

How to control modelNamesAndIds

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 modelNamesAndIds:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "modelNamesAndIds": {}
  }
}

modelNamesAndIds is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Anki — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
CAP THIS TOOL →

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Related tools and policies

Go deeper

Questions about modelNamesAndIds

What does the modelNamesAndIds tool do? +

Gets the complete list of model (note type) names and their IDs. Returns a dictionary mapping model names to IDs. It is categorised as a Read tool in the Anki MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on modelNamesAndIds? +

Register the Anki MCP server in PolicyLayer and add a rule for modelNamesAndIds: 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.

What risk level is modelNamesAndIds? +

modelNamesAndIds is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit modelNamesAndIds? +

Yes. Add a rate_limit block to the modelNamesAndIds 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.

How do I block modelNamesAndIds completely? +

Set action: deny in the PolicyLayer policy for modelNamesAndIds. 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.

What MCP server provides modelNamesAndIds? +

modelNamesAndIds 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.

Enforce policy on every Anki tool call.

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.

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