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Setup Local Dev Environment

sdd_setup_local_env
Idempotent

Detect project tech stack and generate Docker-based local development environment with Dockerfile and docker-compose.yml. Outputs routing instructions for Docker MCP to manage containers.

Instructions

Detects the project tech stack and generates a Docker-based local development environment (Dockerfile + docker-compose.yml). Returns a payload with routing_instructions for Docker MCP to create and manage containers.

Input Schema

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

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

Annotations provide idempotent and open world hints. Description adds that the tool returns routing instructions, but does not specify if files are written locally. The behavioral impact is partially clear but could be more explicit.

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 sentences, front-loaded purpose and output explanation. No redundant information. Highly concise.

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 tool generating a payload, no output schema is provided. The description mentions routing_instructions but not their structure, leaving some ambiguity. Annotations help but completeness is moderate.

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 coverage is 100% with parameter descriptions. The tool description notes auto-detection of services from DESIGN.md, adding value beyond schema. However, it does not elaborate on parameter interactions.

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's function: detects tech stack and generates Docker environment. It distinguishes from siblings like sdd_generate_dockerfile by mentioning full environment setup (Dockerfile + docker-compose) and payload for Docker MCP, but does not explicitly contrast.

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 guidance on when to use this tool vs alternatives. Sibling tools like sdd_generate_dockerfile exist, but the description lacks context for selection.

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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