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Server Quality Checklist

83%
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  • Latest release: v0.1.0

  • Disambiguation5/5

    The two tools have clearly distinct purposes: one publishes content, the other provides information about the service. There is no overlap or ambiguity between them.

    Naming Consistency4/5

    Both tools follow a verb-first pattern with underscores (publish_to_web, get_abovo_info), though one includes a preposition and the other doesn't. The style is consistent enough to be predictable.

    Tool Count3/5

    With only two tools, the server feels thin for a general-purpose MCP server. The count is borderline, but the tools are both essential to the server's stated purpose.

    Completeness3/5

    The server provides a publish capability but no way to read, update, or delete published posts. The info tool helps users understand the service, but the core workflow lacks lifecycle coverage. The design seems intentional since URLs are emailed separately, but from an MCP perspective, the surface is incomplete.

  • Average 4.1/5 across 2 of 2 tools scored.

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

    • No community issues in the last 6 months
    • 20 commits in the last 12 weeks
    • Last stable release on
    • No critical vulnerability alerts
    • No high-severity vulnerability alerts
    • No code scanning findings
    • CI status not available
  • This repository is licensed under MIT License.

  • This repository includes a README.md file.

  • No tool usage detected in the last 30 days. Usage tracking helps demonstrate server value.

    Tip: use the "Try in Browser" feature on the server page to seed initial usage.

  • This repository includes a glama.json configuration file.

  • This server has been verified by its author.

  • Add related servers to improve discoverability.

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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

  • Behavior3/5

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

    Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, and the description's 'Get information' is consistent with these. However, the description adds no additional behavioral context beyond the annotations, such as return format, pagination, authentication needs, or rate limits.

    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 one sentence, directly front-loaded, and free of filler words. It efficiently communicates the tool's purpose without 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?

    This is a simple, read-only informational tool with one parameter, a complete enum in the schema, and strong annotations. The description covers the main query categories, though it omits the 'about' enum value explicitly. No output schema exists, but the description is adequate for the tool's simplicity.

    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 input schema fully documents the single 'query' parameter with an enum and a description, giving 100% schema coverage. The tool description lists most of the enum values but does not add significant extra meaning beyond what the schema already provides.

    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 uses a specific verb ('Get information') and clearly identifies the resource (ABOVO.co) and the scope of data (capabilities, URL formats, groups, use cases). It distinguishes itself from the sibling tool 'publish_to_web' by focusing on information retrieval rather than publishing.

    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?

    The description provides no explicit guidance on when to use this tool versus alternatives, nor does it state any exclusions or prerequisites. It simply describes what the tool does, leaving the agent to infer usage context from the tool name and sibling tool.

    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?

    Beyond the annotations (readOnlyHint false, idempotentHint false), the description explains the non-idempotent behavior in concrete terms ('repeated calls create duplicate posts'), reveals that publishing happens via a single configured SMTP identity, and discloses the unusual return behavior (confirmation plus a link to the sender's page, not the new post URL). This is rich, actionable 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?

    The description is compact yet information-dense: one sentence for purpose, one for input list, and one each for exclusions, return behavior, and idempotency. Every sentence adds value, and the structure is logical and scannable.

    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 there is no output schema, the description properly covers return values (confirmation, sender page link, absence of exact URL) and side effects (duplicate posts on repeat). It also notes the mechanism (email) and the full input scope, making the tool safe and predictable for an agent without needing additional context.

    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%, with each parameter already described. The description adds minor context by listing the parameters (subject, body, format, group) and mentioning that attachments are not supported, but it does not meaningfully extend the schema's parameter meanings. Baseline of 3 is appropriate.

    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 verb and resource: "Publish content to a public web page on ABOVO.co" via a specific SMTP identity. It is unambiguously distinct from the sibling get_abovo_info, which is an info/read tool.

    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 gives explicit usage cautions: no file attachments are supported, and repeated calls create duplicate posts. It also notes that the exact post URL is not returned (it is emailed separately), helping an agent decide whether this tool meets the need. It does not name an alternative tool, but the only sibling is clearly for reading info, so context is sufficient.

    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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  • Confirm that the MCP server is working as expected.
  • Confirm that there are no obvious security issues.
  • Evaluate tool definition quality.

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