Skip to main content
Glama
SorataYang

Qiao-MCP

by SorataYang

initialize_model

Destructive

Clears current bridge model data to start a fresh project. Requires explicit user confirmation before use; only for new models, never for editing existing ones.

Instructions

    Initialize a new empty model (初始化全新模型).
    
    WARNING: This will CLEAR the current model data in the active bridge software!
    (警告:此操作将清空桥通软件中的当前模型!)
    
    Use this ONLY when starting a brand new project, NOT when modifying an existing one.
    (仅在从零开始新建桥梁时使用,修改现有模型时绝对不要调用此工具)

    CRITICAL LLM INSTRUCTION: Do NOT call this tool autonomously to fix your own mistakes. 
    You MUST explicitly ask the USER for permission before calling this tool.
    (严重的指令:大模型绝对不可为了修复自己的建型错误而自行调用此工具清空模型!必须先向用户询问并获得许可!)
    
    Args:
        confirm: Must be set to true to execute (必须设为true以确认操作)
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
confirmNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.3.1

TDQS

A4.9/5.0
Behavior5/5

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

Annotations already mark destructiveHint=true, but the description goes further by naming exactly what is destroyed (current model data in the active bridge software) and adding a user-permission prerequisite. This is meaningful behavioral context beyond the structured annotations, with no contradiction.

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?

The key information is front-loaded and clearly structured: purpose, destructive warning, usage restriction, agent instruction, and parameter guidance. The only downside is that every English line is duplicated in Chinese, adding length without adding information.

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 simple one-boolean-parameter tool with no output schema, the description is complete: it explains the destructive effect, when to use it, when not to use it, the required user-permission step, and the required parameter value. Nothing essential is missing.

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 schema only provides a boolean 'confirm' with default false and no description. The description adds the essential semantic: confirm must be set to true to execute, which is exactly what the agent needs to call the tool correctly.

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 a destructive initialize action: it creates a new empty model and CLEARS the current model data. It also explicitly distinguishes itself from normal create/modify tools by warning it is only for brand-new projects, so an agent can tell it apart from siblings like create_simple_beam_bridge or open_model_file.

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?

The description explicitly says to use this ONLY when starting a brand new project, NOT when modifying an existing model. It also adds a critical agent-level instruction: never call this tool autonomously to fix mistakes, and always ask the user for permission first. This is excellent when/when-not guidance.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/SorataYang/qiao-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server