Skip to main content
Glama

timps_docker_compose_architect

Creates production-ready compose.yaml files from plain-English project requests, including environment variables, healthchecks, volumes, networks, and profiles.

Instructions

Compose a production-grade multi-service docker-compose (or compose.yaml) for a project: env, healthchecks, volumes, networks, profiles.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
requestNoPlain-English task or context for the agent.
languageNoPrimary programming language (default: python).python
Behavior2/5

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

With no annotations and no output schema, the description has the full burden of explaining what happens when this tool runs. It only states that it 'composes' a docker-compose file, but does not say whether the tool writes files, returns YAML content, modifies an existing project, or whether there are side effects or permissions/context requirements.

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?

One sentence contains the core action, the target artifact, the quality attribute ('production-grade'), the scope ('multi-service', 'project'), and a useful list of covered compose aspects. There is no filler, repetition, or unnecessary wording.

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 what could be a file-producing or file recommending tool, there is no mention of return format, delivery mechanism, project context assumptions, or whether an existing project is required. There are no annotations and no output schema, so the description alone is not enough to fully inform an agent about expected behavior and scope of results.

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?

The description doesn't add detail about the two parameters, but the input schema already provides clear descriptions: request for plain-English task/context and language for the primary programming language. Since schema coverage is 100%, the schema carries the load, and the baseline score of 3 applies.

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 specifies a concrete action ('Compose a production-grade multi-service docker-compose') and resource ('docker-compose (or compose.yaml)'), with an enumerated scope that includes the relevant concerns: env, healthchecks, volumes, networks, profiles. This is differentiated from sibling tools by explicitly targeting docker-compose rather than Kubernetes, Terraform, or container scanning.

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 that the tool should be used when a project needs a production-grade multi-service compose file, and it gives a short list of what the generated file should contain. However, it does not explicitly describe when not to use it, or compare it against alternatives such as kubernetes_navigator or container_image_scanner. The usage intent is clear but only implied.

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/Sandeeprdy1729/timps-swarm'

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