"What should I watch/read next?" Recommends from your Planning list based on your taste profile. Also works for backlog analysis - "which of my 200 Planning titles should I actually start?" Falls back to top-rated AniList titles if the Planning list is empty. Optionally filter by mood or max epis...
High parameter count (10 properties)
Part of the Ani MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents invoke anilist_pick to trigger processes or run actions in Ani. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.
anilist_pick can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. Intercept enforces rate limits and validates arguments to keep execution within safe bounds.
Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.
tools:
anilist_pick:
rules:
- action: allow
rate_limit:
max: 10
window: 60
validate:
required_args: trueSee the full Ani policy for all 55 tools.
Agents calling execute-class tools like anilist_pick have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Execute risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.
anilist_pick is one of the high-risk operations in Ani. For the full severity-focused view — only the high-risk tools with their recommended policies — see the breakdown for this server, or browse all high-risk tools across every MCP server.
"What should I watch/read next?" Recommends from your Planning list based on your taste profile. Also works for backlog analysis - "which of my 200 Planning titles should I actually start?" Falls back to top-rated AniList titles if the Planning list is empty. Optionally filter by mood or max episodes. Returns ranked picks with match score, genre alignment, and mood fit.. It is categorised as a Execute tool in the Ani MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Add a rule in your Intercept YAML policy under the tools section for anilist_pick. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Ani MCP server.
anilist_pick is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the anilist_pick rule in your Intercept 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 Intercept policy for anilist_pick. 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.
anilist_pick is provided by the Ani MCP server (ani-mcp). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Open source. One binary. Zero dependencies.
npx -y @policylayer/intercept