build_plan
Generate a structured implementation plan from ML/AI framework documentation, with numbered steps, specs, and validation criteria to guide coding agents and verify their work.
Instructions
Get a structured implementation plan based on knowledge base documentation.
Covers a wide range of ML/AI frameworks, libraries, and tools with architecture docs, implementation patterns, configuration references, and troubleshooting guides.
Returns an actionable plan with numbered steps, specs, and validation criteria — all based on how the framework actually works.
Use this tool when you:
Are about to implement something and want the correct sequence of steps
Need a plan informed by real framework documentation, not just general knowledge
Want validation criteria to verify your implementation against
Returns: overview, key specs, numbered steps, and validation criteria.
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": {
"goal": "<goal>"
},
"name": "build_plan"
}
}Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| goal | Yes | What you want to accomplish (e.g., 'Implement YAML config parser for distributed RL experiment planning') | |
| constraints | No | Optional constraints or requirements (e.g., 'Must validate GPU memory, support multi-node configs') |