add_to_library · Pinako AI Bridge MCP: Risk & Policy

WHAT IT DOES

What add_to_library does on Pinako AI Bridge

AI agents use add_to_library to create or update resources in Pinako AI Bridge — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Pinako AI Bridge environment.

WHY IT NEEDS A POLICY

Why add_to_library needs a policy

This tool creates copies of browser/tab management entities (windows, tabs, groups, folders) into a library, which is a reversible Write operation. The data being copied exists already, so this is non-destructive, and it doesn't involve deletion, execution of arbitrary code, or financial transactions.

From the tool's definition The tool description states it 'Clones TREE nodes (windows, tabs, groups, folders) from a source surface into a library,' which is a create/modify operation that adds data to a library structure.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

add_to_library Rate-limited

add_to_library 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "add_to_library": {
      "limits": [
        {
          "counter": "add_to_library_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Pinako AI Bridge, so you can run agents against it safely.

FAQ

Questions about add_to_library

What does the add_to_library tool do? +

Clones TREE nodes (windows, tabs, groups, folders) from a source surface into a library. NOT for library-scope notes — pass only ids from the source\. It is categorised as a Write tool in the Pinako AI Bridge MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on add_to_library? +

Register the Pinako AI Bridge MCP server in PolicyLayer and add a rule for add_to_library: 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 Pinako AI Bridge. Nothing to install.

What risk level is add_to_library? +

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

Can I rate-limit add_to_library? +

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

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

add_to_library is provided by the Pinako AI Bridge MCP server (teleomorph/pinako-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.