Retrieve cards that are due for review. Returns JSON object with
AI agents call get_due_cards to retrieve information from Anki MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves existing flashcard data from the Anki collection for review scheduling purposes. It has no side effects, does not execute code or external operations, does not modify data, and does not create financial obligations. The blast radius of misuse is minimal—an AI agent could at most retrieve and review card information it may not have permission to see, but cannot corrupt or destroy data.
From the tool's definition Tool name 'get_due_cards' and description 'Retrieve cards that are due for review' indicate a read-only query operation that returns data without modifying, executing, or deleting anything.
Attacks that exploit this kind of access
Retrieve cards that are due for review. Returns JSON object with. It is categorised as a Read tool in the Anki MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Anki MCP Server 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 Anki MCP Server. 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 Anki MCP Server MCP server (letuanvu08/anki-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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