AI agents call get_due_cards to retrieve information from MCP-AnkiConnect without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and retrieves data about flashcards that are due for review without creating, modifying, deleting, or executing any operations. It is a straightforward read operation with minimal risk—the worst outcome of misuse would be retrieving information the user already has access to.
From the tool's definition Tool name 'get_due_cards' and description 'Get cards that are due for review' indicate a retrieval operation with no modification or side effects.
Documented attack patterns abuse exactly the kind of access get_due_cards gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP-AnkiConnect, and nothing reaches the server without passing your rules. This is the rule we recommend for get_due_cards:
{
"version": "1",
"default": "deny",
"tools": {
"get_due_cards": {}
}
} get_due_cards is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Get cards that are due for review. It is categorised as a Read tool in the MCP-AnkiConnect MCP Server, which means it retrieves data without modifying state.
Register the MCP-AnkiConnect MCP server in PolicyLayer and add a rule for get_due_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 MCP-AnkiConnect. Nothing to install.
get_due_cards 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 get_due_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.
Set action: deny in the PolicyLayer policy for get_due_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.
get_due_cards is provided by the MCP-AnkiConnect MCP server (samefarrar/mcp-ankiconnect). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP-AnkiConnect, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
10 MCP-AnkiConnect tools catalogued and risk-classified — across an index of 43,000+ MCP servers.