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Groupthink-dev

tailscale-blade-mcp

ts_audit_log

Retrieve recent Tailscale configuration audit logs showing who changed what and when. Optionally filter by device scope (infrastructure, personal, or home).

Instructions

Configuration audit log: who changed what, when. Recent entries first.

Optional scope arg filters audit entries to those whose target is a device with a tag in the scope set. Requires a secondary fetch of the device-tag map (uncached at v1). Entries with non-device targets are excluded when scope is provided.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNoMax entries returned, most-recent-first (default 50)
daysNoLookback window in days (default 7); wider windows risk the 30s API timeout
scopeNoDD-278 scope filter: 'infrastructure' | 'personal' | 'home'. Filtered client-side — audit-log entries don't carry tags, so the filter resolves each entry's target.id against a secondary device-tag map fetch (one extra round-trip per call).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Discloses ordering (recent first), scope filtering behavior (client-side with secondary fetch), exclusion of non-device targets, and timeout risk for wide lookbacks. No annotations provided, so description carries burden effectively.

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?

Two short paragraphs, no wasted words. First sentence captures tool purpose, second paragraph explains scope in detail. Efficient and front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Covers behavior, constraints, filter details, and risks. Output schema exists so return values not needed. Complete for a read-only audit log tool.

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?

Schema has 100% coverage, but description adds context: explains scope's client-side filtering and secondary fetch, days timeout risk, and count default/max. Adds value beyond schema.

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?

Clearly states it's a configuration audit log showing who changed what and when, with recent entries first. Distinguishes from sibling tools that deal with devices, users, etc.

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?

Provides clear context on when to use optional scope filter and warns about secondary fetch and timeout risks. Lacks explicit comparison to alternatives, but siblings are distinct enough.

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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