api_reflect

A other tool on the Anki MCP server.

SERVERAnki SOURCE@arielbk/anki-mcp

Low RISK CLASS

Category Other

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-arielbk-anki-mcp/api-reflect.md

WHAT IT DOES

What api_reflect does on Anki

AI agents call api_reflect as a supporting operation in Anki workflows.

RISK

Why api_reflect is rated Low

The description is empty and the name 'api_reflect' does not clearly map to any standard risk category. 'Reflect' typically implies introspection or querying API capabilities (Read-like), but without a description this cannot be confirmed. Confidence is very low; defaulting to Other given insufficient evidence.

From the tool's definition Tool name is 'api_reflect' with an empty description. No functional information is available.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs api_reflect 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 api_reflect, this is the rule to start with:

api_reflect Rate-limited

api_reflect gets a rate cap, and everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "api_reflect": {
      "limits": [
        {
          "counter": "api_reflect_rate",
          "window": "minute",
          "max": 60,
          "scope": "grant"
        }
      ]
    }
  }
}

SET A RULE FOR THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Anki, apply this rule, and every api_reflect call is checked against it from then on.

FAQ

Questions about api_reflect

What does the api_reflect tool do? +

api_reflect 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.

How do I enforce a policy on api_reflect? +

Register the Anki MCP server in PolicyLayer and add a rule for api_reflect: 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.

What risk level is api_reflect? +

api_reflect is a Other tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit api_reflect? +

Yes. Add a rate_limit block to the api_reflect 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.

How do I block api_reflect completely? +

Set action: deny in the PolicyLayer policy for api_reflect. 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.

What MCP server provides api_reflect? +

api_reflect 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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