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service_create

Create a Docker Swarm service for replicated or global scheduling, rolling updates, and automatic restart across swarm nodes.

Instructions

Create a Swarm service; requires a swarm manager node.

Use this instead of container_run when you need replicated or global scheduling, rolling updates, or automatic restart across the swarm. Common extra_kwargs keys: name (str), env (list of "KEY=VAL"), mode ({"Replicated": {"Replicas": N}} or {"Global": {}}), networks (list of network names/ids), endpoint_spec ({"Ports": [{"PublishedPort": 80, "TargetPort": 8080}]}), labels (dict), restart_policy ({"Condition": "on-failure", "MaxAttempts": 3}), resources ({"Limits": {"NanoCPUs": 500000000, "MemoryBytes": 134217728}}). For anything else docker-py's ServiceCollection.create accepts, call docs_lookup(section="services") rather than guessing a key name.

args: image - Image to run service tasks from (e.g. "nginx:alpine") command - Override the image's default command; string or list of strings extra_kwargs - Additional docker-py ServiceCollection.create keyword arguments returns: dict - The created service's attrs

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
imageYes
commandNo
extra_kwargsNo
Behavior3/5

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

Annotations already indicate a write operation (readOnlyHint=false) and non-destructive nature (destructiveHint=false). The description adds the prerequisite of a swarm manager node but does not detail side effects or state changes beyond creation.

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 well-structured and front-loaded with purpose and usage guidelines. It efficiently lists extra_kwargs keys but is slightly verbose; however, the length is justified by the need to compensate for missing schema descriptions.

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?

Given the lack of output schema and minimal annotations, the description provides thorough context: prerequisite (swarm manager), parameter meanings, common 'extra_kwargs' patterns, and guidance to use 'docs_lookup' for unknown keys. It also indicates the return type (dict of attrs).

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?

With 0% schema coverage, the description fully compensates by explaining all three parameters: 'image' with example, 'command' with override behavior, and 'extra_kwargs' with common keys and examples. This adds critical semantic meaning absent from the schema.

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 states the verb 'Create' and the resource 'Swarm service'. It distinguishes from the sibling tool 'container_run' by specifying when to use it (replicated/global scheduling, rolling updates, automatic restart).

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

Usage Guidelines4/5

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

The description explicitly requires a swarm manager node and advises using this tool over 'container_run' under specific conditions. It provides clear context but does not explicitly list alternatives like 'service_update' or when not to use it.

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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