AI agents call search_public to retrieve information from Videoseek without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries publicly available video content and returns results without creating, modifying, deleting, or executing anything. It is a read-only search operation. The low severity reflects that searching public data carries minimal security risk even if an agent misuses it.
From the tool's definition Tool description states 'Search for videos on public platforms' — a retrieval operation with no modification or side effects. Named 'search_public' indicating query-only functionality.
Attacks that exploit this kind of access
Search for videos on public platforms (TikTok, YouTube, Instagram). It is categorised as a Read tool in the Videoseek MCP Server, which means it retrieves data without modifying state.
Register the Videoseek MCP server in PolicyLayer and add a rule for search_public: 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 Videoseek. Nothing to install.
search_public 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 search_public 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 search_public. 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.
search_public is provided by the Videoseek MCP server (kennyzheng-builds/videoseek-mcp). 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.
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