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bakhtiyork

Digest MCP Server

by bakhtiyork

Server Quality Checklist

67%
Profile completionA complete profile improves this server's visibility in search results.
  • Latest release: v1.0.0

  • Disambiguation5/5

    With only one tool, there is no possibility of confusion or overlap between tools. The single tool 'web_content' has a clearly defined and distinct purpose of fetching fully rendered DOM content from web pages.

    Naming Consistency5/5

    Since there is only one tool, naming consistency is inherently perfect. The tool name 'web_content' follows a clear and descriptive pattern, though no pattern can be established across multiple tools.

    Tool Count2/5

    A single tool is too few for a server named 'Digest MCP Server', which suggests a broader scope of digesting or processing content. While the tool is well-described, the server's purpose likely requires more operations (e.g., parsing, summarizing, or managing multiple sources) to be effectively useful.

    Completeness2/5

    The tool surface is severely incomplete for a digest server. It only provides fetching of web content, with no tools for processing, analyzing, summarizing, or managing the fetched data. This creates significant gaps that will hinder agents from performing comprehensive digest-related tasks.

  • Average 4/5 across 1 of 1 tools scored.

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

    • No community issues in the last 6 months
    • 0 commits in the last 12 weeks
    • No stable releases found
    • 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.

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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

  • Behavior4/5

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

    With no annotations provided, the description carries the full burden of behavioral disclosure. It effectively describes key behavioral traits: it handles dynamic loading, waits for JavaScript execution, includes scrolling behavior with wait times, and mentions cleanup options. However, it lacks details on error handling, rate limits, or authentication needs, which would be beneficial for a tool with external dependencies.

    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 appropriately sized and front-loaded, starting with the core purpose and progressively detailing capabilities and behavior. Each sentence adds value without redundancy, making it efficient and easy to understand quickly.

    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 tool's complexity (external service integration, dynamic content handling) and rich schema (100% coverage, output schema exists), the description is mostly complete. It covers the tool's purpose, key behaviors, and context, but could improve by addressing potential limitations or error scenarios. The existence of an output schema means return values need not be explained.

    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 schema description coverage is 100%, so the schema already documents all parameters thoroughly. The description adds some context by mentioning scrolling and cleanup in general terms, but it does not provide additional semantic meaning beyond what the schema specifies (e.g., explaining why certain defaults are chosen or how parameters interact).

    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 with specific verbs ('Fetch fully rendered DOM content') and resource ('using browserless.io'), and distinguishes its capabilities from basic web scraping by mentioning AJAX/JavaScript handling, SPAs, infinite scroll pages, and complete rendered HTML after JavaScript execution. It provides a comprehensive overview of what the tool does beyond just fetching content.

    Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

    Usage Guidelines3/5

    Does the description explain when to use this tool, when not to, or what alternatives exist?

    The description implies usage scenarios (e.g., for SPAs, infinite scroll pages, dynamic content) but does not explicitly state when to use this tool versus alternatives or provide any exclusions. With no sibling tools mentioned, the lack of explicit guidance is less critical, but it still relies on implication rather than clear directives.

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

GitHub Badge

Glama performs regular codebase and documentation scans to:

  • 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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