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OraCool

instagram-mcp

by OraCool

Publish a reel

ig_publish_reel

Publish an Instagram reel from a public video URL, returning a pending container_id when Meta processing exceeds wait_seconds so it can be finished with ig_publish_container.

Instructions

Publishes a reel from a public video URL. Video processing can take minutes: if it is not ready within wait_seconds, a pending container_id is returned for ig_publish_container. Requires IG_ENABLE_WRITES=true.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
captionNoCaption, up to 2200 characters, 30 hashtags and 20 @mentions
cover_urlNoPublic URL of a cover image
video_urlYesPublic URL of an MP4/MOV video
thumb_offsetNoCover frame offset in milliseconds (when no cover_url)
wait_secondsNoHow long to wait for Meta to process the media before returning a pending container_id
share_to_feedNoAlso show the reel in the main feed grid

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare the write/openWorld/non-idempotent profile, so the description's added value is the async behavior: processing can take minutes and may return a pending container instead of a published reel. The env-flag requirement is also honest operational context. It stops short of noting rate limits (a sibling, ig_publishing_limit, hints they exist) or what a successful call returns.

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?

Three short sentences, front-loaded with what it does, followed by the timing caveat and the prerequisite. Every sentence carries distinct information; nothing is padded.

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?

For a mutation tool with no output schema, the description covers the key unknown an agent faces: the call may not complete synchronously and hands off to ig_publish_container. It is nearly complete, though it omits what a successful publish returns and any mention of publishing quota limits.

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 coverage is 100%, so the schema already documents all six parameters with types, defaults, and bounds. The description only restates wait_seconds' role in prose without adding format or edge-case detail beyond the schema, so the 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 plus resource ('Publishes a reel') and the input source ('from a public video URL'). This cleanly separates it from ig_publish_image, ig_publish_story, and ig_publish_carousel, which share the same verb but differ in resource.

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?

Names the prerequisite flag (IG_ENABLE_WRITES=true) and the follow-up path when processing is slow (pending container_id goes to ig_publish_container). It gives clear context for use but never states when NOT to use it or how it relates to ig_publish_carousel/ig_publish_story beyond the media type.

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