get_quota_usage

THE RISK

Low Risk

Why get_quota_usage needs a policy

This tool retrieves and queries quota usage data without creating, modifying, deleting, or executing any operations. It is a pure read operation that returns informational metrics about API consumption. The blast radius is minimal—misuse would only expose quota information, not data or functionality.

From the tool's definition Tool name 'get_quota_usage' and description 'Return today's YouTube Data API quota usage and remaining estimate' indicate retrieval of quota statistics with no modification or side effects.

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

POLICY

How to control get_quota_usage

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 get_quota_usage:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_quota_usage": {}
  }
}

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

Create a free account and register Youtube Research — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More Youtube Research tools

Read analyze_channel Collect transcripts and comments from a specific YouTube channel's recent videos. Read analyze_videos Collect transcripts, metadata, and optional comments for specific videos. Read collect_research_discussions Search YouTube and collect transcript plus comments for each usable video. Read collect_research_sources Search YouTube and collect transcript-ready sources for analysis. Read collect_video_discussion Collect one video's transcript plus comments for discussion analysis. Read get_capabilities Return which tools are available based on current configuration. Read get_transcript Fetch a YouTube transcript by URL or video ID. Read get_video_comments Fetch top-level YouTube comments for one video.

All 10 Youtube Research tools →

Read tools on other servers

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about get_quota_usage

What does the get_quota_usage tool do? +

Return today's YouTube Data API quota usage and remaining estimate. 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 get_quota_usage? +

Register the Youtube Research MCP server in PolicyLayer and add a rule for get_quota_usage: 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 get_quota_usage? +

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

Can I rate-limit get_quota_usage? +

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

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

get_quota_usage 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.

CHECK YOUR STACK →