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SsangG77

instagram-analyzer MCP

by SsangG77

analyze_instagram_post

Analyzes a public Instagram post URL and returns the caption and photos as images for multimodal AI analysis, enabling visual understanding without paid APIs.

Instructions

공개 인스타그램 게시물의 캡션과 사진을 가져온다.

Args: url: 인스타그램 게시물/릴스 URL (예: https://www.instagram.com/p/CXXXXXX/) max_images: 반환할 최대 사진 수 (캐러셀 게시물 대비, 기본 5)

Returns: 메타데이터+캡션 텍스트, 그리고 사진(들)을 이미지로 반환한다. 모델은 반환된 이미지를 직접 보고 시각적으로 분석할 수 있다.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes
max_imagesNo
Behavior4/5

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

No annotations are provided, so the description must inform about safety and behavior. It explains that it returns captions and images, and notes the model can analyze images directly. It does not discuss rate limits or errors, but the constraints (public posts) are clear.

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 concise, with two short paragraphs and clearly labeled Args/Returns sections. Every sentence adds value and no extraneous information is present.

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?

With no output schema, the description explains return values (metadata+caption and images). It covers the two parameters and mentions the tool's capability for visual analysis. Minor aspects like error handling are absent, but overall complete for a simple tool.

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

Parameters5/5

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

The input schema has no descriptions (0% coverage), so the description fully compensates by detailing the 'url' parameter with an example and 'max_images' with its default and purpose for carousel posts. This adds significant meaning.

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 it fetches captions and photos from public Instagram posts/Reels, using a specific verb and resource. No sibling tools exist, so differentiation is not needed.

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 specifies that it works on public Instagram posts and provides an example URL format. It implicitly says when to use (for public posts) but does not explicitly exclude private posts, though 'public' is stated.

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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