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fredericsuretat

Docker Forge MCP

generate_env

Extracts environment variable placeholders from a Docker Compose YAML and generates a .env template file with categorized comments and secret generation hints.

Instructions

[PRO] Extract all environment variable placeholders (${VAR}) from a Docker Compose YAML and generate a .env template file with categorized comments (database, auth/secrets, app). Includes generation hints for secrets.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
compose_yamlYesThe docker-compose.yml content to extract variables from
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It mentions generating a categorized .env template with secrets hints, giving some insight into behavior. However, it does not disclose whether the tool is read-only, modifies files, or requires any permissions, leaving gaps in transparency.

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?

The description is a single sentence that efficiently conveys the tool's purpose and output. It is front-loaded with key actions. The '[PRO]' prefix is minor noise but does not detract significantly. Concise without sacrificing clarity.

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 simplicity of the tool (single parameter, no output schema), the description adequately covers what the tool does and what it produces. It explains the output's nature (categorized comments, secrets hints). No major gaps are apparent for this use case.

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 description coverage is 100% (the single parameter 'compose_yaml' is described). The description does not add significant meaning beyond the schema's description of the parameter. The baseline of 3 applies since the schema already documents the parameter adequately.

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 uses specific verbs ('extract', 'generate') and clearly states the resource (env var placeholders from Docker Compose YAML) and output (a .env template with categorized comments). It distinguishes from sibling tools like generate_dockerfile and generate_stack, which have different purposes.

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

Usage Guidelines3/5

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

The description implies usage for extracting env vars from Docker Compose YAML but lacks explicit guidance on when to use this tool versus alternatives (e.g., audit_compose might also examine environment). No when-not or prerequisite information is provided, leaving room for ambiguity.

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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