Skip to main content
Glama
Sign In
CadenceAI MCP

CadenceAI MCP

by chaosAIman
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

generate_schematic_dsn

Create an OrCAD Capture-compatible .DSN schematic file from component and net lists, producing pure XML intermediate design data for later import and post-processing in Capture.

Instructions

基于组件与网络清单生成 OrCAD Capture 兼容的简化 .DSN 工程文本(纯 XML)。适合作为 AI 原理图设计的中间产物,再导入 Capture 进行后处理。

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": {
      "components": "<components>",
      "nets": "<nets>"
    },
    "name": "generate_schematic_dsn"
  }
}

Input Schema

NameRequiredDescriptionDefault
netsYes网络列表,每项 {name, nodes: [refdes,...]}
titleNo原理图标题AI-Generated Schematic
save_pathNo保存路径
componentsYes组件列表,每项 {ref, value, x?, y?}
project_nameNo项目名称ai_design

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It usefully discloses the output medium and format (simplified .DSN as pure XML text), but does not state whether a file is actually written to the save_path, whether the operation is side-effecting or reversible, or any validation/error behavior.

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?

Two tightly written sentences with the core action (generate a .DSN XML from components/nets) front-loaded and the workflow role following. No filler, though it could be marginally tighter.

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

Completeness3/5

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

For a 5-parameter generation tool with no annotations and no output schema, the description covers the output format and workflow role but omits return/side-effect details (file writing via save_path) and any failure conditions, leaving gaps an agent must resolve by guessing.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema already documents nets, components, title, project_name, and save_path. The description adds no parameter-level meaning beyond that, so the baseline 3 applies.

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

Purpose4/5

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

States a specific verb+resource: generating an OrCAD Capture-compatible simplified .DSN project (pure XML) from a component and net list. This is concrete enough to separate it from siblings like generate_spice_netlist and netlist_to_allegro, though it never names them explicitly.

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

Usage Guidelines3/5

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

It gives implied context — useful as an intermediate artifact for AI schematic design that is later imported into Capture for post-processing — which tells the agent roughly when this fits in a workflow. But there are no explicit when-not-to-use conditions or named alternatives versus the many other generation/netlist siblings.

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

Deploy Server

Other Tools