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generateNetworkFromDescription

Turn natural language descriptions into complete network topologies, including devices, links, IP addressing, and configurations. Optionally auto-builds the design in Packet Tracer.

Instructions

Use AI (Gemini) to generate a complete network topology from a natural language description. Returns a full network design including devices, links, IP addressing, and configurations. Requires GEMINI_API_KEY environment variable or ~/.cisco-pt-mcp/config.json with gemini_api_key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
auto_buildNoIf true, automatically build the network in Packet Tracer. If false, only return the design JSON. Defaults to false.
descriptionYesNatural language description of the desired network. Example: 'Create a small office network with 2 departments, each with a switch, 3 PCs, and a central router with internet connection'
Behavior3/5

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

With no annotations, the description carries the burden of behavioral disclosure. It does disclose that this calls an external AI service (Gemini), requires an API key, and returns a full network design. It does not state whether generation can produce side effects, whether auto_build=true modifies the workspace, latency/cost expectations, or non-deterministic variability of AI output.

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?

Two tight, front-loaded sentences: the first states the core purpose and input type, and the second covers the return value and prerequisite. No redundant fluff; the API-key requirement is included without disrupting readability.

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

Completeness3/5

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

The description conveys input type, external dependency, and the broad shape of the return value, which is helpful given there is no output schema. However, it is missing important execution context: whether auto_build=true creates persistent side effects in Packet Tracer, what happens if the API key is missing, and whether the design output is directly consumable by buildNetworkFromDesign.

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 description coverage is 100%, so the input schema already explains description and auto_build well. The tool description reinforces the 'natural language description' concept and hints at design content, but it adds little parameter-level detail beyond what the schema provides.

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 a specific action ('generate a complete network topology') using a specific input ('natural language description') and clarifies what the result includes: devices, links, IP addressing, and configurations. The 'natural language' input distinguishes this from builder-focused siblings such as buildNetworkFromDesign.

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 makes it reasonably clear that this tool is for natural-language-to-network generation, and it gives a hard prerequisite (GEMINI_API_KEY or config file). However, it does not explicitly say when to prefer an alternative like buildNetworkFromDesign or when to avoid this tool, so the usage guidance is mostly implied rather than explicit.

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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