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Meru-Fin-Tech

HelloBooks AI MCP Server

list_videos

Retrieve HelloBooks product videos from the marketing site and YouTube channel. Filter by category (demo, features, overview), featured status, or free-text query to find demos and walkthroughs.

Instructions

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.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
categoryNoFilter to one video category (demo, features, overview).
featuredOnlyNoIf true, only return videos flagged as featured on the marketing site.
queryNoOptional substring match against video title + description.
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It discloses the curated behavior and includes the channel URL for full catalog. However, lacks details on pagination, ordering, or response limits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Concise, front-loaded with purpose, and every sentence adds value. No wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a list tool with 3 optional params and no output schema, the description covers the return fields and channel URL. Minor omission: default behavior when no filters are applied.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline is 3. The description adds value by explaining 'free-text query' and grouping filters, providing context beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses specific verbs ('List') and resources ('HelloBooks product videos curated on the marketing site'). It clearly distinguishes the curated nature from sibling tools and states the return fields.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly states when to use: 'Use this when a user asks for a demo, walkthrough or video.' It also notes it's a curated set, implying not for searching all channel uploads. However, no explicit when-not or alternative tool mention.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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