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Agent.ai MCP Server

by OnStartups

youtube_social_content_generate_social_content_action

Generate social media posts for LinkedIn, Twitter, Instagram, Email, and Blog from a YouTube video topic.

Instructions

Generates repurposed social media content for 5 platforms (LinkedIn, Twitter/X, Instagram, Email, Blog) from a YouTube video topic.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicYes
video_urlNo
key_takeawaysNo
target_audienceNo
social_media_toneNoprofessional
output_variable_nameYesVariable name for the result.social_content
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It states the tool 'generates' content, implying it does not post or store anything, but this is implicit. It does not mention side effects, required authorizations, rate limits, or what happens with missing inputs. The description lacks explicit safety or destruction details.

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

Conciseness3/5

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

The description is a single sentence of 14 words, making it concise. However, for a tool with six parameters and no annotations, the brevity leads to under-specification. While front-loaded with the core function, it sacrifices necessary detail. It earns a 3 as it is minimally adequate but inefficient in conveying usage information.

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

Completeness2/5

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

Given the tool has six parameters (two required), no output schema, and no annotations, the description is incomplete. It does not describe the output format (e.g., what 'social_content' contains), the workflow (e.g., prioritization of inputs), or how the result is used. A tool of this complexity requires more context to ensure correct invocation, which is lacking.

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

Parameters1/5

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

Schema description coverage is only 17%, meaning only one parameter (output_variable_name) has a description in the schema. The tool description does not explain any parameter's meaning, format, or usage. For example, 'topic' is required but its role as the YouTube video topic is only implied by the description phrase 'from a YouTube video topic'. Parameters like 'video_url', 'key_takeaways', and 'target_audience' are entirely unexplained, requiring the agent to infer their purpose.

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 the action: generating repurposed social media content for 5 specific platforms from a YouTube video topic. It uses a specific verb and resource, and distinguishes from the related sibling tool 'youtube_social_content_render_social_report' by focusing on generation rather than rendering. However, it does not differentiate itself from other social content generation tools like 'social_post_creator_generate_post_action', which also generates social posts from different inputs.

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?

The description provides no guidance on when to use this tool versus alternatives, such as social post creators or planners. It does not mention prerequisites (e.g., need for a YouTube video topic) or situations where the tool should not be used. Context signals like 'when to use' or 'when not to use' are absent.

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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