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cad_project

Inspect, initialize, or validate HDL projects and optionally create the project configuration file.

Instructions

Inspect, initialize, or validate an HDL project.

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": {
      "request": "<request>"
    },
    "name": "cad_project"
  }
}

Input Schema

NameRequiredDescriptionDefault
requestYes

Output Schema

NameRequiredDescriptionDefault
okYes
jobNo
pathNo
errorNo
actionYes
profileNo
summaryNo
writtenNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.4/5.0
Behavior2/5

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

Annotations declare readOnlyHint=false, destructiveHint=false and closed-world, so an agent knows a write is possible but not destructive; the description adds nothing on top of that. Critically, it never says that only init writes files and only when the write flag is set, nor that inspect/validate are read-only — an important distinction the annotations cannot convey because they apply to the whole tool.

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

Conciseness3/5

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

One short sentence with no wasted words and the resource front-loaded, but it is compressed to the point of under-specification rather than efficient. The space saved is space the agent needed for action selection and side-effect disclosure.

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

Completeness2/5

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

An output schema exists, so return values need not be explained, but for a tool with a mutation path (init writing oss-cad-project.toml) the description is far too thin. It omits side effects, the meaning of the three modes, and the write safety gate, leaving the agent dependent on enum values and field-level schema text.

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

Parameters2/5

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

Reported schema description coverage is 0% for the top-level request parameter, so the description must carry the load and does not — it never mentions the action enum, the root override, the write gate, or the deep flag. The nested schema does briefly document each field, which prevents a 1, but nothing in the description explains how these control behavior.

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

Purpose3/5

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

The description names three concrete verbs (inspect, initialize, validate) against a specific resource (an HDL project), so an agent knows the general domain. However, it does not distinguish this from plausible siblings like cad_check, cad_verify, or cad_status that could also validate project state, and it never says what 'inspect' or 'validate' actually produce.

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 about when to choose inspect versus init versus validate, no prerequisites, and no mention of alternatives. The agent must infer the correct action from the enum alone, with no statement that init is the setup step and validate is a subsequent check.

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