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YawLabs

@yawlabs/tailscale-mcp

by YawLabs

tailscale_update_tailnet_settings

Idempotent

Update your tailnet settings for device approval, auto-updates, key expiry, HTTPS certificates, network flow logging, regional routing, and posture identity collection.

Instructions

Update tailnet settings (device approval, auto-updates, key expiry, HTTPS certificates, network flow logging, regional routing, posture identity collection).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
httpsEnabledNoWhether HTTPS certificates are enabled (for tailscale serve/funnel)
usersApprovalOnNoWhether user approval is required
aclsExternalLinkNoURL to the external ACL management system (shown in the admin console)
devicesApprovalOnNoWhether device approval is required
regionalRoutingOnNoWhether regional routing is enabled
devicesAutoUpdatesOnNoWhether auto-updates are enabled
networkFlowLoggingOnNoWhether network flow logging is enabled
devicesKeyDurationDaysNoKey expiry duration in days
aclsExternallyManagedOnNoWhether ACLs are externally managed (e.g. via GitOps)
postureIdentityCollectionOnNoWhether posture identity collection is enabled
usersRoleAllowedToJoinExternalTailnetsNoWhich user roles can join external tailnets
Behavior2/5

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

Annotations already indicate idempotentHint=true and destructiveHint=false. The description adds no behavioral detail beyond listing settings categories; it does not mention partial update behavior, success response, or authorization requirements.

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?

Single sentence, directly lists the settings categories. No unnecessary words. Efficient.

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?

With 11 optional params and no output schema, the description explains what it does but not the return value or side effects. For a settings update tool, it is adequate but could mention what is returned (e.g., updated settings or success status).

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 coverage is 100%, so baseline 3. The description lists categories but adds little meaning beyond the parameter names and their own descriptions, which are already detailed.

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 clearly states the verb (Update) and resource (tailnet settings), listing categories. However, it does not differentiate from the read counterpart (tailscale_get_tailnet_settings) which is a sibling tool, but the verb makes the distinction obvious.

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?

No guidance on when to use this tool versus alternatives. It does not mention that for reading settings one should use tailscale_get_tailnet_settings, nor any prerequisites or conditions for updating.

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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