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@yawlabs/tailscale-mcp

by YawLabs

tailscale_list_log_stream_configs

Read-onlyIdempotent

Retrieve all log stream configurations for your tailnet, including audit and network flow logs configured to send to external destinations like Axiom, Datadog, Splunk, Elasticsearch, or S3.

Instructions

List all log streaming configurations for your tailnet. Fetches both 'configuration' (audit) and 'network' (flow) log stream configs. Log streaming sends logs to external destinations like Axiom, Datadog, Splunk, Elasticsearch, or S3.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description adds value by specifying that both configuration and network log stream configs are fetched and explaining the purpose of log streaming. No contradictions with 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 consists of two concise sentences. The first sentence front-loads the primary action and scope. The second adds relevant detail about log streaming destinations. Every sentence earns its place with no redundancy.

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 list operation with no output schema, the description explains what is listed and why. It mentions the two types and external destinations. While it does not discuss pagination or return format, these are reasonable omissions for a simple list with likely few entries.

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?

There are zero parameters, and schema description coverage is 100% (vacuous). According to guidelines, baseline is 4 for 0 params. The description does not need to add parameter semantics since there are none.

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 it lists all log streaming configurations for the tailnet, specifies two types (configuration and network), and explains the purpose of log streaming to external destinations. The name and description distinguish it from related tools like get, set, delete.

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?

The description provides clear context for what the tool does but does not explicitly state when to use it versus alternatives. It implies that this tool is for viewing all configs, while other tools (e.g., get, set, delete) are for specific operations. No exclusions or when-not-to-use guidance is provided.

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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