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Agent.ai MCP Server

by OnStartups

youtube_thumbnail_generate_packaging_action

Generate SEO-optimized YouTube titles, descriptions, tags, and thumbnails for new or existing videos to improve discoverability and engagement.

Instructions

Generates YouTube packaging (titles, description, tags, thumbnails) for a new or existing video.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
input_modeYesnew_video
topicNo
video_urlNo
key_takeawaysNo
target_audienceNo
thumbnail_directionNo
thumbnail_styleNo
output_variable_nameYesVariable name for the result.youtube_packaging
Behavior2/5

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

No annotations exist, so the description must disclose behavioral traits. It mentions generating packaging but omits details like whether it stores data, requires authentication, or has any side effects. The phrase 'for a new or existing video' is vague and lacks clear behavioral context.

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

Conciseness4/5

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

The description is a single concise sentence that covers the core purpose. However, it could be improved by adding structure or bullet points for readability. It is not overly verbose but lacks necessary detail.

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

Completeness1/5

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

Given 8 parameters, no output schema, and no annotations, the description is severely incomplete. It does not explain the output, how to use the generated packaging, or what to do with the result variable. A 1 is appropriate for such lack of completeness.

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

Parameters2/5

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

With only 13% schema coverage, the description should clarify parameter meanings. It does not explain key parameters like input_mode, topic, video_url, or thumbnail_style. The general description fails to compensate for the sparse schema documentation.

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

Purpose4/5

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

The description clearly states that the tool generates YouTube packaging (titles, description, tags, thumbnails) for new or existing videos. It distinguishes from siblings like youtube_thumbnail_render_packaging_report by focusing on generation rather than rendering. However, it lacks specificity about the output format or structure.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives such as youtube_script_writer_generate_youtube_script_action or youtube_social_content_generate_social_content_action. There is no mention of prerequisites or context for using this tool.

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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