Low Risk

collect_research_sources

Search YouTube and collect transcript-ready sources for analysis.

How to control collect_research_sources ↓

What collect_research_sources does on Youtube Research

AI agents call collect_research_sources to retrieve information from Youtube Research without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why collect_research_sources needs a policy

This tool retrieves and aggregates publicly available YouTube data (video sources, metadata) for analysis purposes. It performs no modifications, deletions, code execution, or financial operations. The 'collect' action refers to gathering information, not creating or destructively modifying data.

From the tool's definition Tool description states it 'Search YouTube and collect transcript-ready sources for analysis.' The verbs 'search' and 'collect' for analysis purposes indicate data retrieval without modification.

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

How to control collect_research_sources

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

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

collect_research_sources is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Youtube Research — 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.
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Related tools and policies

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Questions about collect_research_sources

What does the collect_research_sources tool do? +

Search YouTube and collect transcript-ready sources for analysis. It is categorised as a Read tool in the Youtube Research MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on collect_research_sources? +

Register the Youtube Research MCP server in PolicyLayer and add a rule for collect_research_sources: 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 Research. Nothing to install.

What risk level is collect_research_sources? +

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

Can I rate-limit collect_research_sources? +

Yes. Add a rate_limit block to the collect_research_sources 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_research_sources completely? +

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

collect_research_sources is provided by the Youtube Research MCP server (lee-s-dev/youtube-research-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Youtube Research tool call.

Start from Youtube Research, 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.

10 Youtube Research tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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