Get the current configuration of the YouTube extractor.
AI agents call get_extractor_config to retrieve information from YouTube MCP Server Enhanced without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and returns configuration information about the YouTube extractor. It performs a read-only query with no capability to modify, delete, or execute arbitrary operations. The blast radius if misused is minimal—an agent could only learn configuration details, which poses no financial, destructive, or operational risk.
From the tool's definition Tool name 'get_extractor_config' and description 'Get the current configuration of the YouTube extractor' indicate a retrieval operation that queries configuration state without modification or side effects.
Attacks that exploit this kind of access
Get the current configuration of the YouTube extractor. It is categorised as a Read tool in the YouTube MCP Server Enhanced MCP Server, which means it retrieves data without modifying state.
Register the YouTube MCP Server Enhanced MCP server in PolicyLayer and add a rule for get_extractor_config: 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 Enhanced. Nothing to install.
get_extractor_config 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 get_extractor_config 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 get_extractor_config. 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.
get_extractor_config is provided by the YouTube MCP Server Enhanced MCP server (labeveryday/youtube-mcp-server-enhanced). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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