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Setup GitHub Codespaces

sdd_setup_codespaces
Idempotent

Detects project tech stack and generates a devcontainer configuration for GitHub Codespaces, routing instructions for creating a codespace.

Instructions

Detects the project tech stack and generates a devcontainer configuration suitable for GitHub Codespaces. Returns a payload with routing_instructions for GitHub MCP's create_codespace tool.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
feature_numberNoFeature number (zero-padded, e.g. '001')001
spec_dirNoSpec directory path (relative to workspace root).specs
machine_typeNoGitHub Codespaces machine type.standardLinux32gb
extensionsNoVS Code extensions to install. Auto-detected from tech stack if omitted.
Behavior3/5

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

Annotations already indicate idempotency and non-destructiveness. The description adds context about the output payload, but doesn't delve into behavioral details like side effects or required permissions beyond what annotations provide.

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

Conciseness5/5

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

Two concise sentences, front-loaded with the core action and followed by the output purpose. No redundant information.

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

Completeness4/5

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

Given the absence of an output schema, the description adequately explains the return format. The tool has 4 optional parameters with defaults, so the description covers the necessary context for an agent to invoke it correctly.

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

Parameters4/5

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

Schema coverage is 100% with descriptions for all 4 parameters. The description adds value by noting automatic detection for extensions when omitted, and clarifies the purpose of each parameter in context.

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 the tool detects the project tech stack and generates a devcontainer configuration for GitHub Codespaces, with a specific output payload. This distinguishes it from siblings like sdd_generate_devcontainer.

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

Usage Guidelines4/5

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

The description implies usage for setting up Codespaces by generating a devcontainer config and returning routing instructions. However, it does not explicitly state when not to use it or compare to alternative tools, missing some guidance.

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

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