Skip to main content
Glama

reeling_publish_post

Publish or schedule short-form videos and posts across multiple social platforms simultaneously (TikTok, Instagram Reels, YouTube Shorts, Threads, Bluesky, Facebook, Twitter/X, LinkedIn, Pinterest).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleNoTitle for video platforms like YouTube Shorts or Pinterest pin titles.
api_keyNoOptional Reeling API key.
contentYesPost copy, caption, or description.
platformsYesList of platform keys to publish to, e.g. ['tiktok', 'instagram', 'youtube', 'bluesky', 'threads'].
video_urlNoPublicly accessible URL of the video file to publish (MP4, MOV, WebM).
project_idNoOptional project ID to associate with the post.
scheduled_atNoOptional ISO 8601 timestamp (e.g. 2026-09-10T15:00:00Z) to schedule post for future publishing.
thumbnail_urlNoOptional URL to a custom JPEG, PNG, or WebP thumbnail image.
pinterest_linkNoOptional destination link for Pinterest Pin.
pinterest_board_idNoOptional Pinterest board ID to pin to. If omitted, uses default board or auto-creates 'Reeling Videos'.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior2/5

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

No annotations exist, so the description carries the full burden, yet it discloses only the fan-out behavior (publishing to many platforms at once) and the platform set. It says nothing about auth requirements, what happens if one platform fails while others succeed, whether publishing is reversible, rate limits, or what is returned.

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?

One front-loaded sentence with the action verb first; the trailing platform enumeration is long but does usefully bound the scope. No filler or repetition.

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?

For a 10-parameter, side-effecting publishing tool with no annotations and no output schema, the description is far too thin. An agent gets no information on failure modes, scheduling semantics, auth, or the result of a publish call, all of which it must know before invoking this.

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% across all 10 parameters, so the schema already explains title, video_url, scheduled_at, pinterest_board_id, and the rest. The description adds no syntax or format detail beyond the parameter fields, so baseline 3 applies.

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?

States a specific verb pair (publish/schedule) and resource (short-form videos and posts), plus the multi-platform fan-out scope. It reads clearly as the terminal publishing action, distinct from siblings like reeling_generate_video, reeling_adapt_content_ai, and reeling_get_post_status.

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 when-to-use guidance beyond the verb itself: nothing about when to schedule versus publish now, no prerequisites, no mention that an API key may be needed, and no routing to or away from siblings such as reeling_generate_video. The reader must infer everything from the parameter list.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.