oriiion

Create From Link

create_from_link

Turn a link the user shared (Instagram post/reel, TikTok, YouTube video, article or web page) into content for the user: a single post (their own image, never the creator's media), a short video script they film on their phone via a teleprompter link, or an Instagram carousel. The link is read first — metadata, transcript, what it shows — which can take up to a minute for a long video. The result lands in the user's todo list for review.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "url": "<url>",
      "format": "<format>"
    },
    "name": "create_from_link"
  }
}

Input Schema

Name	Required	Description
`url`	Yes	The full link, starting with http(s)://
`format`	Yes	post = one social post, script = phone-filmed video with teleprompter, carousel = Instagram slide deck
`context`	No	What the user said alongside the link — why they like it, the angle, a product to feature
`platform`	No	Post only: which platform to write for (default facebook)
`scheduledFor`	No	ISO date to schedule the post or carousel for

Schema Changelog

Changes observed during successful MCP inspections.

First observedOct 21, 2026

TDQS

A4/5.0

Behavior4/5

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

Annotations already establish a non-destructive write, but the description adds genuinely useful behavior: the link is read first (metadata, transcript, what it shows), it can take up to a minute for long video, the result is queued in the todo list rather than published, and posts use the user's own image rather than the creator's media. Only auth/permission expectations are unaddressed.

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?

Three sentences, no filler, with the core action and its output options front-loaded before the latency and destination details. Sentences are long but each carries distinct information; nothing is repeated from the schema except the format list.

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

Completeness5/5

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

For a write tool with no output schema, the description covers what is produced, where it goes (todo list), how long it can take, and the media-ownership rule — enough for an agent to set expectations and follow up. Nothing essential is missing given full schema coverage.

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 url, format, context, platform, and scheduledFor are already documented in the schema, including the format enum meanings. The description restates the format options and adds the media-ownership constraint for 'post', but contributes no additional syntax or default detail. 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 and resource ('turn a link the user shared ... into content') and enumerates the three concrete outputs (single post, phone-filmed script with teleprompter, Instagram carousel). The link-as-input framing cleanly separates it from siblings like create_from_trend, generate_from_news, generate_from_product, and create_post_from_image.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The three format outcomes are explained, which implies when each mode applies, and the 'lands in the user's todo list for review' note hints at the downstream workflow. However, it never names an alternative tool or states when to prefer this over create_from_trend or generate_from_news, so routing guidance is left to inference.

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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