AI agents call search_natural_videos to retrieve information from Pipiads without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
type | number | — | Content type filter |
region | array | — | Country/region codes, e.g. ["US","GB"] |
keyword | string | — | Search keyword |
platform | string | — | Platform filter |
sort_key | string | — | Sort field |
page_size | integer | Yes | Results per page |
sort_type | string | — | "asc" or "desc" |
search_type | number | — | Search type |
current_page | integer | Yes | Page number |
digg_count_max | number | — | Maximum like count |
digg_count_min | number | — | Minimum like count |
play_count_max | number | — | Maximum play count |
Parameters from the server's own tool schema.
This tool queries video data from an advertising intelligence database to retrieve information about TikTok videos and their metrics. It performs filtering and searching operations without creating, modifying, deleting, or executing external operations.
From the tool's definition Tool description states 'Search TikTok Made Me Buy It / natural traffic videos' with filtering capabilities (plays, likes, followers). The verb 'search' and absence of modification language indicate data retrieval only.
Risk signalsHigh parameter count (23 properties)
Attacks that exploit this kind of access
Search TikTok Made Me Buy It / natural traffic videos. Filter by plays, likes, followers. It is categorised as a Read tool in the Pipiads MCP Server, which means it retrieves data without modifying state.
search_natural_videos accepts 12 parameters: type, region, keyword, platform, sort_key, page_size, sort_type, search_type, current_page, digg_count_max, digg_count_min, play_count_max. Required: page_size, current_page. The full parameter table on this page comes from the server's own tool schema.
Register the Pipiads MCP server in PolicyLayer and add a rule for search_natural_videos: 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 Pipiads. Nothing to install.
search_natural_videos 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_natural_videos 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_natural_videos. 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_natural_videos is provided by the Pipiads MCP server (pipiads-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.
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