manage_source · YouTube Knowledge Base MCP: Risk & Policy

WHAT IT DOES

What manage_source does on YouTube Knowledge Base MCP

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

WHY IT NEEDS A POLICY

Why manage_source needs a policy

Given the server's function of building and maintaining a knowledge base from video transcripts, 'manage_source' most likely creates, updates, or modifies source entries (videos, transcripts, or metadata) rather than merely reading or destructively deleting them. This falls under Write category.

From the tool's definition Tool name 'manage_source' suggests modification or administration of data sources within the knowledge base. The server context involves managing video transcripts and a searchable knowledge base.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

manage_source Rate-limited

manage_source 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": {
    "manage_source": {
      "limits": [
        {
          "counter": "manage_source_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

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

FAQ

Questions about manage_source

What does the manage_source tool do? +

manage_source. It is categorised as a Write tool in the YouTube Knowledge Base MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on manage_source? +

Register the YouTube Knowledge Base MCP server in PolicyLayer and add a rule for manage_source: 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 YouTube Knowledge Base MCP. Nothing to install.

What risk level is manage_source? +

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

Can I rate-limit manage_source? +

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

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

manage_source is provided by the YouTube Knowledge Base MCP server (miandari/youtube-knowledge-base-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.