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YawLabs

@yawlabs/tailscale-mcp

by YawLabs

Get contacts

tailscale_get_contacts
Read-onlyIdempotent

Retrieve the security, support, and admin email contacts for your Tailscale tailnet to know who to reach for account or policy issues.

Instructions

Get the tailnet contact information (security, support, admin emails).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.13.3

TDQS

A3.7/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=true, and destructiveHint=false, so the safety profile is covered. The description adds the specific contact fields returned, which is useful context, but does not disclose auth requirements, rate limits, or response format beyond the annotations.

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 description is a single, front-loaded sentence that names the action, resource, and returned data with no wasted words.

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?

For a no-parameter, read-only getter without an output schema, the description adequately conveys what the tool returns. It could optionally mention response shape or required permissions, but it is complete enough for correct invocation.

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 there are no parameter semantics to document. Per calibration, a parameterless tool receives a baseline score of 4 for this dimension.

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 states a specific verb ('Get') and resource ('tailnet contact information') and clarifies the returned contact types with '(security, support, admin emails)'. It does not explicitly differentiate itself from the sibling set_contacts or from broader settings tools, but the resource is clear enough for an agent to identify the operation.

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?

There is no explicit when-to-use or when-not-to-use guidance, nor are alternatives named. However, the verb 'Get' combined with the specific resource implies this should be used when retrieving tailnet contact information, which is adequate for a simple read-only getter.

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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