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RandomSynergy17

Arcane MCP Server

Create network

arcane_network_create

Create a Docker network with specified driver, subnet, gateway, and access restrictions to isolate containers.

Instructions

Create a new Docker network

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
environmentIdYesEnvironment ID
nameYesNetwork name
driverNoNetwork driverbridge
internalNoRestrict external access
attachableNoAllow manual container attachment (for overlay)
subnetNoSubnet in CIDR format (e.g., 172.20.0.0/16)
gatewayNoGateway IP address
ipRangeNoIP range for allocation
Behavior3/5

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

Annotations already indicate non-readOnly, so the description's 'Create' is consistent. However, beyond annotations, the description adds no further behavioral context (e.g., side effects, idempotency, or requirements). It meets the baseline with annotations but does not exceed.

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, short sentence that is front-loaded and free of unnecessary words. However, for a tool with 8 parameters, it could be slightly more informative without losing conciseness, hence not a 5.

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?

Given the tool's complexity (8 parameters, no output schema), the description is incomplete. It does not mention important context like uniqueness constraints, driver requirements, or the effect of flags. The schema covers parameter definitions, but the description fails to provide higher-level usage context.

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 coverage is 100%, so all parameters are described in the schema. The description does not add any additional meaning or context for the parameters, such as parameter relationships or usage hints. Baseline score 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 states the specific action 'Create a new Docker network', which is a distinct verb-resource pair. It differentiates from sibling tools like network_delete, network_list, etc., by focusing on creation.

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?

No guidance is provided on when to use this tool versus alternatives, such as prerequisites (e.g., environment must exist) or scenarios where other network tools are more appropriate. This lack of context reduces usability for an AI agent.

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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