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Tailscale MCP by usefulapi

List devices

tailscale_list_devices
Read-only

List all devices in the tailnet (name, addresses, OS, last seen, tags, etc.). Tailscale REST: GET /tailnet/{tailnet}/devices.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fieldsNoField set — 'all' returns all fields incl. posture attributes and routes; 'default' is the standard subset.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, so the safety profile is covered. The description adds real value by enumerating the returned fields (name, addresses, OS, last seen, tags) and mapping to the underlying REST call, but omits pagination/result-size behavior, which matters for a full-tailnet listing.

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?

Two short sentences, front-loaded with the core action and scope, then the field list. The REST endpoint reference is mildly extraneous for an agent but costs little; nothing is padded.

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 a fully covered single-parameter schema and no output schema, the description usefully compensates by naming the returned fields. The remaining gap is the absence of any note on result volume/pagination for what is by definition a full-tailnet listing.

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 single 'fields' enum parameter is already fully documented in the schema, including the 'all' vs 'default' semantics. The description mentions returned fields but never references the 'fields' parameter, adding nothing beyond the schema. Baseline 3 applies.

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 all devices in the tailnet") and even enumerates the returned fields, so the agent knows exactly what it gets. It distinguishes itself implicitly from tailscale_get_device (singular) via "all devices," but never names the sibling explicitly.

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?

Usage is implied by "List all devices in the tailnet" — an agent can infer this is the bulk-read tool versus tailscale_get_device for one device. There is no explicit when-to-use statement, no mention of when to prefer tailscale_list_device_routes or filtering options, and no prerequisites called out.

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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