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Server Quality Checklist

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  • Latest release: v0.1.0

  • Disambiguation5/5

    Each tool has a clearly distinct purpose: SSH config generation, ping testing, port sharing management, and tailnet status. No overlaps.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern using snake_case (e.g., generate_ssh_config, ping_all, stop_share).

    Tool Count5/5

    6 tools cover the core functionalities of tailnet management without being excessive or insufficient.

    Completeness4/5

    Covers SSH config, latency testing, and port sharing comprehensively. Minor gaps like setting exit nodes or managing ACLs, but fits a focused scope.

  • Average 4.3/5 across 6 of 6 tools scored. Lowest: 3.6/5.

    See the Tool Scores section below for per-tool breakdowns.

    • No community issues in the last 6 months
    • 15 commits in the last 12 weeks
    • Last stable release on
    • No critical vulnerability alerts
    • No high-severity vulnerability alerts
    • No code scanning findings
    • CI is passing
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How is the quality score calculated?

The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).

Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.

Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).

Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.

Tool Scores

  • Behavior2/5

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

    With no annotations, the description must disclose behavioral traits. It only states the tool reports sessions, but does not mention safety (non-destructive), required permissions, any side effects, or rate limits. Minimal transparency.

    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, clear sentence with no wasted words. It is front-loaded and efficiently conveys the tool's function.

    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 zero-parameter tool with no output schema, the description is largely complete. It specifies what the tool reports and on which node. It could mention the return format or relationship to sibling tools, but is adequate for a simple read operation.

    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 no parameters; schema coverage is trivially 100%. The description adds meaning by explaining the purpose, which is sufficient since no parameter details are needed.

    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 tool reports active Tailscale Serve/Funnel sessions on the node. It uses a specific verb ('Report') and a well-defined resource, distinguishing it from sibling tools like share_port or tailnet_status.

    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 is provided on when to use this tool versus alternatives such as tailnet_status or share_port. The description does not include exclusions, prerequisites, or context about when this tool is appropriate.

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

  • Behavior4/5

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

    No annotations provided, so description carries full burden. It discloses structured error returns with fix commands for common failures (missing binary, stopped daemon, need login), which is helpful behavioral context.

    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 focused sentences: first lists output fields, second details error handling. No unnecessary words, front-loaded with purpose.

    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?

    Given one optional parameter and no output schema, the description adequately covers output fields and error conditions, making it complete for a status tool.

    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?

    The single parameter 'onlineOnly' is fully described in the input schema with a clear description. The tool description adds no further semantic value, meeting but not exceeding baseline expectations.

    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 tool reports tailnet state with specific fields (hostname, MagicDNS name, IPs, OS, online flag, etc.), distinguishing it from sibling tools like ping_all or share_port.

    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 implicitly guides usage by listing what it reports and error conditions, but doesn't explicitly state when to use this tool over alternatives. The context from siblings makes it clear enough.

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

  • Behavior4/5

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

    No annotations are provided, so the description carries full burden. It covers dry-run default, write behavior, target differences, idempotency of user_ssh_config edits, and never touching outside markers. However, it does not detail file overwrite behavior or prerequisites (e.g., tailscale running).

    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 three concise sentences, front-loaded with the main purpose. Every sentence adds essential information without redundancy or verbosity.

    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 no output schema, the description explains return values for both dry-run (config text) and write (instructions). It covers all parameters and key behaviors (idempotency, marker boundaries). Minor gaps exist (e.g., config format details, prerequisites), but overall it is well-rounded.

    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 coverage is 100% (baseline 3). The description adds meaningful context beyond the schema, especially for 'write' (explains dry-run vs write) and 'target' (dedicated file vs user_ssh_config with markers). It does not elaborate on 'user' or 'onlineOnly', but the schema descriptions suffice.

    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 generates SSH config Host blocks for tailnet nodes, with a specific verb ('Generate') and resource ('ssh-config Host blocks'). It distinguishes from sibling tools like ping_all or share_port, which are unrelated. The MagicDNS vs IP fallback adds specificity.

    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 use (generating SSH config for tailnet nodes) and explains the default dry-run, write behavior, and different targets. It does not explicitly list when not to use or compare to siblings, but the purpose is clear enough to avoid misuse.

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

  • Behavior4/5

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

    With no annotations, the description carries full burden. It discloses the critical behavioral trait of public exposure (Funnel) and its dangers. Does not cover authentication or conflict behavior, but the key risk is adequately communicated.

    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?

    Three front-loaded sentences with no waste: purpose, warning, return info. Every sentence earns its place.

    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 simple tool (3 params, no output schema, no annotations), the description covers essential purpose and warnings. Missing details on return format beyond 'URL(s)' but sufficient for agent 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?

    Schema coverage is 100%, but the description adds value by explaining default behavior for public and warning about dangers, which supplements the schema descriptions.

    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 (share a local port), the resource (local port), and the context (over tailnet via Tailscale Serve). It distinguishes from siblings like stop_share or share_status by focusing on the act of sharing.

    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 guidance on when to set public=true vs false with an explicit warning. However, lacks explicit comparison to sibling tools or mention of prerequisites.

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

  • Behavior5/5

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

    No annotations provided, but description fully discloses behavioral traits: concurrent pings bounded to 5 at a time, one ping each with timeout, default timeout 5000ms, defaults to online peers only. No contradictions.

    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 sentences, highly efficient. First sentence states action, constraints, and output format. Second adds default scope. No wasted words.

    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?

    Given no output schema and no annotations, description provides sufficient context: concurrency, timeout, result structure, default scope. Covers key behavioral aspects for agent invocation.

    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 is 3. Description restates defaults and adds context about concurrency limit but does not significantly enhance parameter meaning beyond schema descriptions.

    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?

    Description clearly states the tool pings tailnet peers, describes the output as a latency matrix with latency ms, path, and unreachability. It distinguishes from sibling tools like generate_ssh_config and share_port.

    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?

    Description implies use case for checking latency and connectivity among peers. It notes defaults (online only) but does not explicitly state when to use vs alternatives or when not to use it.

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

  • Behavior4/5

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

    The description discloses key behaviors: it clears the serve/funnel configuration, distinguishes between HTTPS port (as shown in share_status) and the local proxied port, and states the effect of omitting the argument. No annotations are provided, so the description carries the full burden, which it does adequately.

    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 concise at two sentences, front-loaded with the action, and contains no redundant information. Every sentence adds value.

    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?

    For a simple tool with one optional parameter and no output schema, the description provides complete guidance on both usage modes and the nature of the parameter. No gaps remain.

    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 coverage is 100%, so baseline is 3. The description adds meaning beyond the schema by explaining that 'httpsPort' is the HTTPS serve port (not the local port) and specifying the effect of omitting it. This clarifies the parameter's purpose and behavior.

    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 tool's purpose: to stop sharing. It distinguishes between two modes (clearing all or turning off a specific HTTPS endpoint), and the context of siblings like 'share_port' and 'share_status' makes it evident that this is the stopping counterpart.

    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 explains when to use each mode: without arguments to clear all, with httpsPort to stop a specific endpoint. It implicitly references 'share_status' for the correct port, providing a hint for use. However, it doesn't explicitly state when not to use it or mention alternatives.

    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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