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tailscale-mesh-mcp

tailscale-mesh-mcp

by R-zin
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Hybrid

list_devices

Retrieve Tailscale mesh devices with online status, OS, IP addresses, tags, and last seen timestamps; filter by online/offline state.

Instructions

List nodes on the Tailscale mesh network with online status, OS, Tailscale IPv4/IPv6 addresses, tags, and last seen timestamps.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "list_devices"
  }
}

Input Schema

NameRequiredDescriptionDefault
sourceNoBackend query source: 'cli' (local daemon), 'api' (Tailscale REST API v2), or 'auto' (tries CLI, falls back to API)auto
statusNoFilter devices by connectivity status ('all', 'online', or 'offline')all

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.1/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It lists returned fields such as online status and IP addresses, but does not disclose read-only safety, authentication requirements, rate limits, pagination, or source fallback behavior, leaving significant gaps.

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?

The definition is a single front-loaded sentence with no filler. Every part of the sentence contributes to describing the resource and the information returned.

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?

Given the low complexity and 100% schema coverage, the description is adequate for a simple list operation and usefully summarizes return fields since no output schema exists. However, it omits usage guidance and behavioral context, leaving clear gaps for an agent selecting and invoking the tool.

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%, and both parameters have enum descriptions in the schema, so the baseline is 3. The description adds no parameter-level meaning beyond what the schema already provides.

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?

The description uses a clear verb ('List') and specific resource ('nodes on the Tailscale mesh network') and enumerates returned fields, which helps an agent understand what the tool provides. It does not explicitly distinguish this tool from the sibling check_connectivity, so it falls short of a 5.

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?

The description gives no when-to-use guidance, no exclusions, and no comparison to the sibling tool check_connectivity. An agent can infer that this lists devices, but the definition provides no routing context for choosing it over alternatives.

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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