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ChanthMiao

MiMo Multimodal Understanding MCP Server

by ChanthMiao

understand_image

Analyze, describe, or extract text from images using natural language prompts. Supports single or multiple images in JPEG, PNG, GIF, WebP, BMP.

Instructions

调用小米 MIMO 多模态模型理解图片。

何时使用:当需要分析、描述、OCR、识别图片内容时使用。 不要用于:读取代码文件、文本文件等非图片文件,这些应使用 Read 工具。

Args: prompt: 图片理解任务描述,如"描述这张图片"、"提取图中的文字"、"解释这个图表" image_url: 单张网络图片 URL 或 data:image base64 image_path: 单张本地图片路径 image_urls: 多张网络图片 URL image_paths: 多张本地图片路径 system_prompt: 可选系统提示词,用于自定义模型行为 max_tokens: 最大输出长度 (默认 8192,最大 32768)

Returns: MIMO 模型返回的图片理解结果。

支持格式:JPEG,PNG,GIF,WebP,BMP 大小限制:单张图片不超过 50MB

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYes
image_urlNo
image_pathNo
image_urlsNo
max_tokensNo
image_pathsNo
system_promptNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Discloses model used, supported formats, size limit, and max_tokens constraints. No annotations provided, so description carries full burden. Lacks explicit mention of read-only nature, but it's implied. Return value described generically.

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?

Well-structured with clear sections, front-loaded purpose, and no redundant information. Slightly long but each sentence adds value. Could be more concise by integrating arg descriptions into schema, but acceptable.

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?

Covers input parameters, supported formats, size limit, and usage guidelines. With an output schema existing, return value description is adequate. Does not mention error handling or authentication, but overall complete for tool of moderate complexity.

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?

With 0% schema description coverage, the description fully compensates by explaining each parameter's purpose, format (URL, base64, local path), and constraints (max_tokens default and max). Examples for prompt enhance clarity.

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 it uses Xiaomi MIMO multimodal model to understand images, lists specific use cases (analyze, describe, OCR, recognize), and explicitly excludes non-image files. Distinguishes from sibling tools (audio, video) by media type.

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

Usage Guidelines5/5

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

Provides explicit when-to-use and when-not-to-use sections, suggests alternative Read tool for non-image files, and gives concrete prompt examples.

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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