model_field_add

A write tool on the Anki MCP server.

SERVERAnki SOURCE@arielbk/anki-mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-arielbk-anki-mcp/model-field-add.md

WHAT IT DOES

What model_field_add does on Anki

AI agents use model_field_add 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.

RISK

Why model_field_add is rated Medium

This tool creates or modifies Anki model schemas by adding fields, which is a reversible Write operation. It affects data structure rather than executing arbitrary code or causing irreversible deletion. Medium severity reflects that schema changes could impact multiple cards but are generally reversible through model editing.

From the tool's definition Tool name 'model_field_add' indicates addition of a field to an Anki card model; the server context shows tools that create and modify Anki flashcard data (add_note, add_notes, add_tags_to_notes). The description is empty, limiting certainty.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs model_field_add 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 model_field_add, this is the rule to start with:

model_field_add Rate-limited

model_field_add 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "model_field_add": {
      "limits": [
        {
          "counter": "model_field_add_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Anki, apply this rule, and every model_field_add call is checked against it from then on.

FAQ

Questions about model_field_add

What does the model_field_add tool do? +

model_field_add 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.

How do I enforce a policy on model_field_add? +

Register the Anki MCP server in PolicyLayer and add a rule for model_field_add: 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 model_field_add? +

model_field_add is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit model_field_add? +

Yes. Add a rate_limit block to the model_field_add 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 model_field_add completely? +

Set action: deny in the PolicyLayer policy for model_field_add. 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 model_field_add? +

model_field_add 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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