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Glama
keizman

MCP Feedback Collector

by keizman

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Server capabilities have not been inspected yet.

Tools

Functions exposed to the LLM to take actions

NameDescription
collect_feedbackA
收集用户反馈的交互式工具
AI可以汇报完成的工作内容,用户可以提供文字和/或图片反馈

Args:
    work_summary: AI完成的工作内容汇报
    timeout_seconds: 对话框超时时间(秒),默认300秒(5分钟)
    
Returns:
    包含用户反馈内容的列表,可能包含文本和图片
pick_imageB

弹出图片选择对话框,让用户选择图片文件或从剪贴板粘贴图片。 用户可以选择本地图片文件,或者先截图到剪贴板然后粘贴。

get_image_infoB
获取指定路径图片的信息(尺寸、格式等)

Args:
    image_path: 图片文件路径

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

B3.1/5.0

Scored across 3 tools

Disambiguation3/5

The three tools have distinct primary purposes—collecting feedback, getting image info, and picking an image—but there is some overlap between get_image_info and pick_image since both handle images. An agent might occasionally misselect between them when the task involves image processing, though their descriptions clarify the difference.

Naming Consistency4/5

The tool names follow a consistent verb_noun pattern (collect_feedback, get_image_info, pick_image), which is clear and predictable. There are no deviations in naming style, making it easy for an agent to parse and understand the tool functions.

Tool Count3/5

With only 3 tools, the server feels thin for a 'Feedback Collector' domain, as it lacks tools for managing or analyzing feedback (e.g., list_feedback, delete_feedback). However, the tools cover basic collection and image handling, so it's borderline but not severely lacking.

Completeness2/5

The server is incomplete for its stated purpose of collecting feedback. It provides tools to collect and handle images but lacks essential operations like storing, retrieving, or summarizing feedback. This creates significant gaps that could cause agent failures in feedback management workflows.

Maintenance

ActivityInactive
ResponsivenessNo issues