Skip to main content
Glama
YawLabs

@yawlabs/tailscale-mcp

by YawLabs

tailscale_create_posture_integration

Create a new device posture integration by specifying the provider and authentication credentials.

Instructions

Create a new device posture integration.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cloudIdNoIdentifies which of the provider's clouds to integrate with. Falcon: us-1|us-2|eu-1|us-gov; Intune: global|us-gov; Jamf Pro/Kandji/Sentinel One: FQDN of your subdomain; Kolide: leave blank.
clientIdNoClient ID for the provider (Intune: application UUID; Falcon/Jamf Pro: client id; Kandji/Kolide/Sentinel One: leave blank)
providerYesThe posture provider
tenantIdNoMicrosoft Intune directory (tenant) ID. Other providers leave blank.
clientSecretYesThe secret (auth key, token, etc.) used to authenticate with the provider. SENSITIVE: passed straight to Tailscale and not echoed back, but MCP clients may log the input value you supply.
Behavior3/5

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

Annotations already declare readOnlyHint=false and destructiveHint=false. The description adds no behavioral traits beyond the schema's note about clientSecret sensitivity. No contradictions, but minimal added value.

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, short sentence with no filler. It is appropriately concise and front-loaded.

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?

Given the tool has 5 parameters and no output schema, the description is minimal. However, the detailed input schema compensates, and the purpose is clear. Slightly more context could help, but overall adequate.

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 schema documents all parameters thoroughly. The description adds no parameter information, meeting the baseline of 3.

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 clearly states the action 'Create' and the resource 'device posture integration', making the purpose unambiguous. It distinguishes itself from sibling tools like list, get, update, and delete.

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?

The description gives no explicit guidance on when to use this tool over alternatives like 'update' or 'delete', nor any prerequisites. Usage is implied but not explicitly stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/YawLabs/tailscale-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server