model_field_set_description

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-set-description.md

WHAT IT DOES

What model_field_set_description does on Anki

AI agents use model_field_set_description 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_set_description is rated Medium

The tool name indicates it modifies Anki model field descriptions (reversible write operation). While the description is empty, the naming convention 'set_*' paired with 'model_field' suggests updating metadata rather than deleting or executing code. Anki model fields are configuration data that can be modified but are recoverable, making this a Write rather than Destructive action.

From the tool's definition Tool name 'model_field_set_description' suggests modification of Anki model field metadata. The 'set_description' verb indicates it changes/updates data. No description provided, limiting confidence.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

model_field_set_description Rate-limited

model_field_set_description 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_set_description": {
      "limits": [
        {
          "counter": "model_field_set_description_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_set_description call is checked against it from then on.

FAQ

Questions about model_field_set_description

What does the model_field_set_description tool do? +

model_field_set_description 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_set_description? +

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

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

Can I rate-limit model_field_set_description? +

Yes. Add a rate_limit block to the model_field_set_description 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_set_description completely? +

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

model_field_set_description 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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