批量添加卡片到指定卡组
AI agents use anki_batch_add_notes to create or update resources in TalkToAnki — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your TalkToAnki environment.
This tool creates or modifies Anki notes (flashcards) within decks. Creation of notes is reversible (can be deleted via anki_delete_notes), making it a Write rather than Destructive operation.
From the tool's definition Tool name 'anki_batch_add_notes' and description 'batch add cards to specified deck' indicate creation of multiple flashcard notes in Anki. The 'batch' qualifier and 'add' verb confirm this is a Write operation that creates new data reversibly.
Attacks that exploit this kind of access
批量添加卡片到指定卡组. It is categorised as a Write tool in the TalkToAnki MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the TalkToAnki MCP server in PolicyLayer and add a rule for anki_batch_add_notes: 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 TalkToAnki. Nothing to install.
anki_batch_add_notes is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the anki_batch_add_notes 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 anki_batch_add_notes. 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.
anki_batch_add_notes is provided by the TalkToAnki MCP server (muxuuu/talktoanki). 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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