Low Risk

anilist_follow_suggestions

Find AniList users with similar taste from your following list. Ranks people you follow by taste compatibility to highlight your best matches. Requires ANILIST_TOKEN for following list access.

Part of the Ani server.

anilist_follow_suggestions is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call anilist_follow_suggestions to retrieve information from Ani without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though anilist_follow_suggestions only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "anilist_follow_suggestions": {}
  }
}

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Get this rule live on your own Ani server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access anilist_follow_suggestions gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so anilist_follow_suggestions only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the anilist_follow_suggestions tool do? +

Find AniList users with similar taste from your following list. Ranks people you follow by taste compatibility to highlight your best matches. Requires ANILIST_TOKEN for following list access.. It is categorised as a Read tool in the Ani MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on anilist_follow_suggestions? +

Register the Ani MCP server in PolicyLayer and add a rule for anilist_follow_suggestions: 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 Ani. Nothing to install.

What risk level is anilist_follow_suggestions? +

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

Can I rate-limit anilist_follow_suggestions? +

Yes. Add a rate_limit block to the anilist_follow_suggestions 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 anilist_follow_suggestions completely? +

Set action: deny in the PolicyLayer policy for anilist_follow_suggestions. 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 anilist_follow_suggestions? +

anilist_follow_suggestions is provided by the Ani MCP server (gavxm/ani-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Ani tool call.

Deterministic rules across all 55 Ani tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

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