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pt-mcp

pt-mcp

by kiskander
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

Get Available Device Models

get_device_models
Read-only

Lists available Packet Tracer device models for a specified device type, so you can choose a valid model string before adding a device to a network topology.

Instructions

List the device models Packet Tracer offers for a device type. Use one of these model strings with add_device_to_network.

Examples:

  • "Which router models can I add?"

  • "List the available switch models"

  • "What PC models does Packet Tracer have?"

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "device_type": "<device_type>"
    },
    "name": "get_device_models"
  }
}

Input Schema

NameRequiredDescriptionDefault
device_typeYes

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

A3.6/5.0
Behavior3/5

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

readOnlyHint=true already declares this is a safe, non-mutating read, and an output schema exists, so return shape need not be explained. The description adds the useful workflow fact that returned values are strings intended for add_device_to_network. It does not mention whether an invalid/empty device type yields empty results or an error, which is the remaining behavioral gap.

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?

Front-loaded with the purpose in the first sentence, followed by the downstream usage, then short examples. The three examples are slightly redundant with each other but each maps to a distinct user phrasing, so they earn their place as retrieval triggers.

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

Completeness4/5

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

With annotations covering safety, an output schema covering returns, and a single enum-constrained required parameter, the description covers what an agent needs to select and call it. Only the failure/empty-result behavior for unusual device types is unaddressed.

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 0%, but the single parameter is fully constrained by an enum of ~50 device types, which is self-documenting. The description confirms the parameter's meaning as the device type being queried, but does not clarify whether an unsupported string is rejected or returns nothing. Adequate but not compensating fully for the lack of field text.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource: "List the device models Packet Tracer offers for a device type." An agent immediately understands the scope is discovery of model strings per category. It does not explicitly distinguish itself from the sibling get_device_model_details, which is the nearest potential confusion point.

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?

Explicitly routes the output to add_device_to_network ("Use one of these model strings with add_device_to_network"), which tells the agent this is the prerequisite discovery step before device creation. The three sample user phrasings reinforce the triggering context. No explicit exclusions or guidance about when to prefer get_device_model_details instead.

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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