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YawLabs

@yawlabs/tailscale-mcp

by YawLabs

Check API status

tailscale_status
Read-onlyIdempotent

Check Tailscale API connectivity and authentication, returning tailnet name and device count to confirm setup is valid.

Instructions

Check that the Tailscale API connection is working. Returns your tailnet name, device count, and confirms authentication is valid. Use this to verify setup.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.13.3

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive), so the bar is lower, yet the description still adds value by stating what the call verifies (auth validity) and what it returns. It does not mention error behavior on a failed connection, but the gap is minor.

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?

Three short sentences, front-loaded with the core action, then return values, then the use case. No filler and nothing repeated from the annotations or schema.

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 no parameters and no output schema, the description correctly compensates by describing what the call returns and what it validates. An agent has everything needed to invoke and interpret it, though a note on failure/timeout behavior would make it fully self-contained.

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?

The tool takes zero parameters, so the baseline is 4 per the rubric. There is nothing for the description to clarify beyond confirming there is no input required.

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 names a specific operation (checking the Tailscale API connection) and enumerates the concrete outputs (tailnet name, device count, authentication validity). This distinguishes it cleanly from every data-mutating sibling in the list.

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?

"Use this to verify setup" gives a clear use context, so the agent knows this is a connectivity/auth diagnostic rather than a data-retrieval tool. It names no explicit exclusions or alternatives, but no sibling tool competes for this role.

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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