Skip to main content
Glama
enis1998

YaparAI Enterprise MCP Server

by enis1998

create_social_post

Write and publish social media posts with text, images, or videos. Schedule posts for future dates across Instagram, Facebook, TikTok, and X.

Instructions

Create and publish (or schedule) a social media post.

Supports text, images, and videos on Instagram, Facebook, TikTok, X. Use scheduled_at to queue posts for a future time.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesPost caption / text content
platformYesTarget platform ("instagram", "facebook", "tiktok", "twitter")
account_idYesSocial account ID (get it from list_social_accounts)
media_urlsNoOptional list of image or video URLs to attach
scheduled_atNoISO 8601 datetime for scheduled posting, e.g. "2026-06-01T10:00:00Z". If omitted, the post is published immediately.
org_idNoOrganization ID (uses YAPARAI_ORG_ID env var if not provided)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations provided, the description carries the full burden of disclosing behavior. It mentions publishing and scheduling, and supports text/images/videos, but does not cover authentication needs, rate limits, idempotency, error handling, or what happens on failure.

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?

The description is three sentences, front-loaded with the core purpose, then supporting details. Every sentence adds value without waste.

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?

Given the presence of an output schema (not shown, but indicated) and 100% schema coverage, the description covers the main aspects. However, it does not describe return values or confirm creation success, which would be helpful for a create tool.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema already documents parameters well. The description adds minimal extra meaning (e.g., supporting content types, scheduled_at format example), but does not significantly enhance understanding 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 clearly states the action ('Create and publish or schedule') and the resource ('social media post'), listing supported platforms (Instagram, Facebook, TikTok, X). This distinguishes it from sibling tools like delete_social_post or generate_caption.

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?

The description provides a clear context for when to use this tool (creating/publishing/scheduling posts) and a specific hint about using scheduled_at for future queuing. However, it lacks explicit guidance on when not to use it or alternatives for other actions like deletion or caption generation.

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/enis1998/yaparai-enterprise-mcp'

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