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Setup Local Dev Environment

sdd_setup_local_env
Idempotent

Detects the project tech stack and generates a Docker-based local development environment with auto-detected sidecar services, outputting routing instructions for Docker MCP to create and manage containers.

Instructions

Detects the project tech stack (codebase manifests, falling back to DESIGN.md) and generates a Docker-based local development environment (Dockerfile + docker-compose.yml with auto-detected sidecar services). Returns a payload with routing_instructions for Docker MCP to create and manage containers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
portNoPrimary application port to expose.
servicesNoAdditional services to include (e.g., 'postgres', 'redis', 'rabbitmq'). Auto-detected from DESIGN.md if omitted.
spec_dirNoSpec directory path (relative to workspace root).specs
feature_numberNoFeature number (zero-padded, e.g. '001')001
Behavior3/5

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

Annotations already indicate mutability (readOnlyHint=false) and idempotency; description adds context on auto-detection and output routing but does not specify if files are created or what side effects occur.

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 sentences, no fluff, but the first sentence is somewhat dense; still efficient overall.

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?

Lacks details about output payload structure and idempotency behavior; without an output schema, the description should more thoroughly explain return value.

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 parameter descriptions; description adds value by explaining auto-detection of services from DESIGN.md and format of feature_number.

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?

The description clearly states the tool detects tech stack and generates Docker-based environment, but does not differentiate from siblings like sdd_generate_devcontainer or sdd_generate_dockerfile.

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?

No explicit guidance on when to use this tool versus alternatives; the description only implies usage for setting up a local dev environment.

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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