Skip to main content
Glama
OnStartups

Agent.ai MCP Server

by OnStartups

social_post_creator_render_post_report

Render a LinkedIn post as an HTML preview including the post copy, image, and first comment for easy review.

Instructions

Renders a LinkedIn post as an HTML preview with copy, image, and first comment.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
report_dataNo{{social_post}}
output_variable_nameYesresults_html
Behavior2/5

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

With no annotations provided, the description carries full burden but only states it renders an HTML preview. It does not disclose whether it is safe or destructive, whether it modifies state, or any side effects.

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

Conciseness2/5

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

The description is a single short sentence, but it omits critical information about parameters and usage context. It is underspecified rather than appropriately concise.

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 two parameters and no output schema, the description fails to explain how to use report_data (likely from a previous generation step) or what output_variable_name controls. The tool's place in a workflow is unclear.

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 0%, and the tool description does not explain the two parameters (report_data, output_variable_name). The defaults hint at purpose but are insufficient for an agent to populate them correctly.

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 clearly states the tool renders a LinkedIn post as an HTML preview including copy, image, and first comment. This verb+resource+output combination is specific and distinguishes it from generation tools.

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 on when to use this tool versus alternatives like other render tools or when not to use it. There is no mention of prerequisites such as having a generated post first.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/OnStartups/agentai-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server