Skip to main content
Glama

clab_generate

Generate a Containerlab topology YAML file for lab testing, mirroring production inventory or using pre-built test scenarios like basic, MPLS core, or datacenter.

Instructions

Generate a Containerlab topology for lab testing.

Creates a containerlab YAML topology file that mirrors your production device inventory, or uses a pre-built test scenario.

Args: scenario: Test scenario — 'basic', 'mpls_core', 'datacenter', 'isp_edge', or 'inventory' (uses your devices.yaml)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
scenarioNobasic

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

The description lacks details on side effects: does it write to disk, return the YAML, or overwrite files? No annotations are present, so the description should cover these traits. It mentions 'creates' but does not clarify the interaction with the filesystem or required inputs like devices.yaml.

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 concise: a brief sentence followed by a structured arg list. No filler content. While the docstring style is acceptable, it could be slightly more compact, but overall efficient.

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?

The description omits important context: it does not explain the output (despite an output schema being present), nor mention prerequisites like the existence of devices.yaml for the inventory scenario. The tool's role in a workflow is not fully specified.

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

Parameters4/5

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

Schema description coverage is 0%, but the description compensates by listing the possible values for 'scenario' (basic, mpls_core, datacenter, isp_edge, inventory) and explaining the inventory option uses devices.yaml. This adds essential meaning beyond the bare 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 it generates a Containerlab topology YAML file for lab testing, specifying it can mirror inventory or use a test scenario. The parameter 'scenario' lists distinct options, distinguishing it from sibling tools like clab_scenarios.

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 (e.g., clab_devices_yaml, clab_scenarios). There is no mention of prerequisites or when not to use it, leaving the agent without context for tool selection.

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/Avinash-Amudala/MCP-Telecom'

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