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compose_restart

Restart Docker Compose services without recreating containers or applying config changes. Use to apply runtime file changes or clear in-memory state.

Instructions

Stop then start services without recreating containers or applying config changes.

Use this to bounce a service (e.g. to pick up a runtime file change or clear an in-memory state). If the compose file has changed (new image, environment, volumes, ports) use compose_up instead — it recreates affected containers to apply the diff. stop_timeout_seconds controls the SIGTERM grace period before Docker sends SIGKILL.

args: project_dir - Dir with the compose file (default: server cwd) files - Explicit compose file paths (repeatable, -f) project_name - Override the compose project name services - Restart only these services; omit to restart all stop_timeout_seconds - Seconds to wait for graceful stop before SIGKILL timeout_seconds - Subprocess timeout (default 300s) returns: dict - {"returncode": int, "stdout": str, "stderr": str, "truncated": bool}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filesNo
servicesNo
project_dirNo
project_nameNo
timeout_secondsNo
stop_timeout_secondsNo
Behavior4/5

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

Discloses that it stops and starts services without recreating, and explains `stop_timeout_seconds` controls SIGTERM grace period. Annotations provide minimal info, so description adds good behavioral context.

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?

Front-loaded with core function, then usage guidance, then parameter details in a structured list. No wasted sentences.

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

Completeness5/5

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

Covers purpose, usage, parameters, return format (dict with fields), and behavioral notes. No output schema exists, but description specifies return fields, making it complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Despite 0% schema description coverage, the tool description includes a detailed arg list explaining all 6 parameters, their defaults, and behavior (e.g., `stop_timeout_seconds` for SIGKILL timeout).

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 states 'Stop then start services without recreating containers or applying config changes,' clearly defining the specific action and resource. It distinguishes from `compose_up`, which recreates containers.

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

Usage Guidelines5/5

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

Explicitly states when to use this tool (bounce a service for runtime changes) and when not to (if compose file changed, use `compose_up` instead), providing a clear alternative.

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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