youtube_search_suggestions
AI agents call youtube_search_suggestions to retrieve information from YouTube MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Search suggestions are typically autocomplete or predictive query data retrieved from YouTube, with no side effects, data modification, or execution capability. This falls clearly into the Read category. Severity is low because suggestion data is generally non-sensitive and publicly available.
From the tool's definition Tool name 'youtube_search_suggestions' indicates retrieval of search suggestion data. The empty description limits confidence, but the naming convention is consistent with sibling analytics and query tools (youtube_analytics_*) which are all Read operations.
Attacks that exploit this kind of access
youtube_search_suggestions. It is categorised as a Read tool in the YouTube MCP Server MCP Server, which means it retrieves data without modifying state.
Register the YouTube MCP Server MCP server in PolicyLayer and add a rule for youtube_search_suggestions: 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 MCP Server. Nothing to install.
youtube_search_suggestions is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the youtube_search_suggestions 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.
Set action: deny in the PolicyLayer policy for youtube_search_suggestions. 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.
youtube_search_suggestions is provided by the YouTube MCP Server MCP server (pauling-ai/youtube-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
Teams ship this data inside their own products. See what a licence covers →