relearn_cards

A execute tool on the Anki MCP server.

SERVERAnki SOURCE@arielbk/anki-mcp

High RISK CLASS

Category Execute

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/relearn-cards.md

WHAT IT DOES

What relearn_cards does on Anki

AI agents invoke relearn_cards to trigger actions in Anki. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.

RISK

Why relearn_cards is rated High

The name 'relearn_cards' suggests triggering a relearn operation on Anki flashcards, which would modify the scheduling/review state of cards. This is likely an Execute or Write action (triggering an external operation on the Anki application). Given sibling tools like 'answer_cards' and 'card_reviews' that interact with Anki's review system, 'relearn_cards' likely resets or reschedules cards for relearning.

From the tool's definition Tool name 'relearn_cards' — description is empty/uninformative

Attacks that exploit this kind of access

RECOMMENDED RULE

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

relearn_cards Rate-limited

relearn_cards stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "relearn_cards": {
      "limits": [
        {
          "counter": "relearn_cards_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about relearn_cards

What does the relearn_cards tool do? +

relearn_cards is a execute tool on the Anki MCP server. It is categorised as a Execute tool in the Anki MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on relearn_cards? +

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

relearn_cards is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit relearn_cards? +

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

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

relearn_cards 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.

KEEP EXPLORING

More on Anki, and thousands of servers like it.

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Guides

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