Medium Risk

collect_person

Collect (favorite) a person for the current user.

How to control collect_person ↓

What collect_person does on Bangumi TV MCP Service

AI agents use collect_person to create or update resources in Bangumi TV MCP Service — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Bangumi TV MCP Service environment.

Medium Risk

Why collect_person needs a policy

This tool creates a new favorite/collection relationship between the current user and a person entity. It is a reversible write operation (favorites can typically be removed), with medium severity as it modifies user data on the platform but has limited blast radius.

From the tool's definition Collect (favorite) a person for the current user

Documented attack patterns abuse exactly the kind of access collect_person gives an agent:

How to control collect_person

PolicyLayer is an MCP gateway — it sits between your AI agents and Bangumi TV MCP Service, and nothing reaches the server without passing your rules. This is the rule we recommend for collect_person:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "collect_person": {
      "limits": [
        {
          "counter": "collect_person_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

collect_person stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Bangumi TV MCP Service — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
LIMIT THIS TOOL →

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Related tools and policies

Go deeper

Questions about collect_person

What does the collect_person tool do? +

Collect (favorite) a person for the current user. It is categorised as a Write tool in the Bangumi TV MCP Service MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on collect_person? +

Register the Bangumi TV MCP Service MCP server in PolicyLayer and add a rule for collect_person: 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 Bangumi TV MCP Service. Nothing to install.

What risk level is collect_person? +

collect_person is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit collect_person? +

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

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

collect_person is provided by the Bangumi TV MCP Service MCP server (ukenn2112/bangumimcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Bangumi TV MCP Service tool call.

Start from Bangumi TV MCP Service, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

46 Bangumi TV MCP Service tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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