This record as markdown: /tools/io-github-arielbk-anki-mcp/find-notes.md
What find_notes does on Anki
AI agents call find_notes to retrieve information from Anki without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why find_notes is rated Low
The tool performs a search or lookup operation on Anki flashcard data. Even without explicit description text, the verb 'find' is characteristic of read-only data retrieval. No evidence of side effects, data modification, or irreversible actions. Lower confidence (0.75) due to empty description, but category assignment is robust based on naming convention and server context.
From the tool's definition Tool name 'find_notes' in Anki context indicates a search/query operation. The description is empty, but the naming pattern and context of other sibling tools (add_note, add_tags_to_notes, answer_cards) suggest this retrieves or queries flashcard notes…
Attacks that exploit this kind of access
The rule that runs find_notes 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 find_notes, this is the rule to start with:
find_notes is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Anki, apply this rule, and every find_notes call is checked against it from then on.
Questions about find_notes
find_notes is a read tool on the Anki MCP server. It is categorised as a Read tool in the Anki MCP Server, which means it retrieves data without modifying state.
Register the Anki MCP server in PolicyLayer and add a rule for find_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 Anki. Nothing to install.
find_notes 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 find_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 find_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.
find_notes 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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