Skip to main content
Glama

generate_docker_compose

Create Docker Compose templates for specified services, optionally including database services like PostgreSQL and Redis.

Instructions

Generate a Docker Compose file template

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
servicesYesList of service names to include
include_databaseNoInclude database services (PostgreSQL, Redis)
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states what the tool does but doesn't explain important behavioral aspects: where the generated file is saved, whether it overwrites existing files, what format the template follows, or what happens if generation fails. For a file generation tool with zero annotation coverage, this is inadequate.

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?

The description is a single, efficient sentence that gets straight to the point with zero wasted words. It's appropriately sized for a straightforward generation tool and front-loads the core functionality.

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

Completeness2/5

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

For a file generation tool with no annotations and no output schema, the description is insufficient. It doesn't explain what the output looks like, where files are saved, what happens on failure, or how the generated template is structured. Given the complexity of Docker Compose configuration and the lack of structured documentation, more context is needed.

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%, so the schema already fully documents both parameters. The description adds no additional parameter semantics beyond what's in the schema. According to scoring rules, when schema coverage is high (>80%), the baseline is 3 even with no parameter information in the description.

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 verb ('generate') and resource ('Docker Compose file template'), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'generate_dockerfile' or 'docker_compose', which could cause confusion about when to use this specific generation tool versus other Docker-related tools.

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?

The description provides no guidance on when to use this tool versus alternatives like 'generate_dockerfile' or 'docker_compose'. There's no mention of prerequisites, typical use cases, or what makes this tool distinct from its siblings in the Docker toolset.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/block/vscode-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server