List HelloBooks product videos curated on the marketing site (homepage demo + feature walkthroughs) and the official @hellobooksai YouTube channel link. Each video returns title, description, category, watch URL, embed URL and thumbnail. Filter by category (demo / features / overview), featuredOn...
AI agents call list_videos to retrieve information from HelloBooks AI MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
query | string | — | Optional substring match against video title + description. |
category | string | — | Filter to one video category (demo, features, overview). |
featuredOnly | boolean | — | If true, only return videos flagged as featured on the marketing site. |
Parameters from the server's own tool schema.
This tool retrieves and filters publicly available marketing content (demo videos, feature walkthroughs, channel links) from HelloBooks' curated set. It has no side effects, cannot modify or delete data, and poses minimal security risk even if misused by an AI agent—at worst it would return irrelevant video recommendations. No financial, destructive, or code execution capability is present.
From the tool's definition Tool description states it 'List[s] HelloBooks product videos' with filtering capabilities and returns metadata (title, description, category, URLs, thumbnail).
Risk signalsAccepts freeform code/query input (query) · Bulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
List HelloBooks product videos curated on the marketing site (homepage demo + feature walkthroughs) and the official @hellobooksai YouTube channel link. Each video returns title, description, category, watch URL, embed URL and thumbnail. Filter by category (demo / features / overview), featuredOnly, or free-text query. Use this when a user asks for a demo, walkthrough or video. Note: this is the curated set, not a live mirror of every channel upload — the response includes the channel URL for the full catalog. It is categorised as a Read tool in the HelloBooks AI MCP Server MCP Server, which means it retrieves data without modifying state.
list_videos accepts 3 parameters: query, category, featuredOnly. The full parameter table on this page comes from the server's own tool schema.
Register the HelloBooks AI MCP Server MCP server in PolicyLayer and add a rule for list_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 HelloBooks AI MCP Server. Nothing to install.
list_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 list_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 list_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.
list_videos is provided by the HelloBooks AI MCP Server MCP server (Meru-Fin-Tech/HelloBooks-MCP-Public). 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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