This record as markdown: /tools/io-github-arielbk-anki-mcp/request-permission.md
What request_permission does on Anki
AI agents call request_permission as a supporting operation in Anki workflows.
Why request_permission is rated Low
The tool name 'request_permission' suggests it may be used to request or grant permissions within the Anki MCP context, but with no description provided it is impossible to determine its actual behavior. Given the sibling tools are all Anki flashcard operations, this likely handles authorization/permission checks rather than data manipulation.
From the tool's definition Tool name is 'request_permission'; description is empty or uninformative.
Attacks that exploit this kind of access
The rule that runs request_permission 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 request_permission, this is the rule to start with:
request_permission gets a rate cap, and 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 request_permission call is checked against it from then on.
Questions about request_permission
request_permission is a other tool on the Anki MCP server. It is categorised as a Other tool in the Anki MCP Server, which means it performs auxiliary operations.
Register the Anki MCP server in PolicyLayer and add a rule for request_permission: 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.
request_permission is a Other tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the request_permission 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 request_permission. 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.
request_permission 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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