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Openworker E-Commerce MCP Server

Openworker E-Commerce MCP Server

by tukimtk-design
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Local

ecommerce_m365_copilot_bridge

Bridge Microsoft 365 Copilot Chat to e-commerce automation. Attach a M365 tab, send prompts, read responses, and get chat history to manage products on Shopee, TikTok Shop, and Lazada.

Instructions

Bridge to Microsoft 365 Copilot Chat interface

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": {
      "action": "<action>"
    },
    "name": "ecommerce_m365_copilot_bridge"
  }
}

Input Schema

NameRequiredDescriptionDefault
actionYes
promptNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

D1.5/5.0
Behavior1/5

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

With no annotations provided, the description carries the full burden of disclosing behavior, but it provides none. It does not mention side effects, required authentication, connection assumptions, or the meaning of actions like attach_m365_tab or send_prompt.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely short, which might appear concise, but it is under-specified rather than efficient. The single sentence only restates the tool name and provides no substantive information, so it does not earn its place.

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

Completeness1/5

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

The tool has four distinct actions, one optional parameter, no output schema, and no annotations, yet the description gives no behavioral or return-value context. An agent has no way to know what each action returns, what side effects may occur, or how failures are surfaced.

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

Parameters1/5

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

Schema description coverage is 0%, and the description adds no explanation for the 'action' enum values or the 'prompt' parameter. An agent cannot infer when 'prompt' is optional or required, what each action expects, or what values are valid beyond the raw enum list.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Bridge to Microsoft 365 Copilot Chat interface' is a noun phrase that essentially restates the tool name without stating a clear verb, resource action, or purpose. It does not say what the tool actually accomplishes, such as sending prompts or retrieving Chat responses, nor does it differentiate it from sibling tools.

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

Usage Guidelines2/5

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

There is no guidance on when to use this tool, when not to use it, or which sibling alternatives might be relevant. The description provides no operational context or decision criteria for an agent selecting among the many ecommerce and browser tools.

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

Deploy Server

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