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sinanefeozler

Reddit Summarizer MCP Server

Server Quality Checklist

58%
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  • Latest release: v0.1.0

  • Disambiguation5/5

    Each tool targets a distinct Reddit resource: comments on a post, frontpage feed, and subreddit feed. No overlap in functionality.

    Naming Consistency3/5

    Two tools follow 'summarize_*' pattern, but 'reed_comments' uses a different verb with a typo ('reed' instead of 'read'), breaking consistency.

    Tool Count5/5

    Three tools cover the core summarizing needs (comments, frontpage, subreddit) without being excessive or insufficient.

    Completeness4/5

    Covers main summarizing use cases but lacks a tool to summarize a specific post's content (without comments), which is a minor gap.

  • Average 3.1/5 across 3 of 3 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.

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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 carries full burden. It only states the output is a list of comments, but lacks disclosure on side effects, auth requirements, or behavior when parameters are missing.

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness3/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    Description is short but lacks clear structure; args and output are conflated. Could be more organized for easier parsing.

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

    Completeness2/5

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

    Given 3 parameters, no output schema, and no annotations, the description is incomplete. It omits explanation of 'limit', the nature of the output list, and how to handle the id/url ambiguity.

    Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

    Parameters2/5

    Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

    Schema coverage is 0%, so description should compensate. It mentions 'post id: str or url: str' implying either can be used, but fails to explain the 'limit' parameter or clarify the interaction between id and url.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose4/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    Description clearly states the tool reads and summarizes top-level comments of a submission, distinguishing it from sibling tools that handle frontpage and subreddit summaries. However, the meaning of 'summarizes' is somewhat vague.

    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 siblings. The description does not mention any conditions, prerequisites, or alternatives, leaving the agent to infer usage.

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

  • Behavior2/5

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

    No annotations are provided, so the description must disclose behavior. It mentions output format (dictionary with post IDs and info) but does not state side effects, error handling, rate limits, or permissions. The phrase 'by giving information dictinory to LLM' is unclear and does not clarify read-only nature.

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness3/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    The description is adequately sized but contains fluff (e.g., 'alias: homepage, feed') and awkward phrasing ('by giving information dictinory to LLM'). The argument list is structured but could be more concise.

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

    Completeness2/5

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

    For a tool with no output schema and no annotations, the description lacks detail on error conditions, performance, or what constitutes 'post informations' in the output. The vague output specification and missing behavioral context leave significant gaps for an AI agent.

    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?

    The input schema has 0% description coverage, but the description compensates by explaining all four parameters: 'subreddit_name' (omit 'r/'), 'fetch_by' (sorting options: hot, new, top, rising, random with default 'hot'), 'limit' (default 10), and 'with_comments' (default false). However, typos and formatting errors (e.g., extra quotes in default) slightly reduce clarity.

    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 that the tool summarizes a subreddit's frontpage, providing an alias ('homepage, feed') and specifying the resource (subreddit). It distinguishes from sibling tools like 'summarize_frontpage' (which likely covers the entire Reddit frontpage) and 'reed_comments' (which reads comments).

    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?

    While the tool name and description imply usage for a specific subreddit, there is no explicit guidance on when to use this tool versus siblings like 'summarize_frontpage' or 'reed_comments'. No 'when-not' or alternatives are mentioned.

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

  • Behavior2/5

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

    No annotations exist, so description must disclose behavioral traits. It indicates the tool summarizes (non-destructive) and optionally uses comments, but lacks details on side effects, authentication needs, rate limits, or the nature of the returned data beyond a dictionary.

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness3/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    Description is relatively concise (three sentences) but contains typos ('Dictinory', 'informations'). The structure mixes purpose and parameter info, and the output description could be more formal. It earns its place but could be polished.

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

    Completeness3/5

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

    Given no output schema, description explains the return value shape. However, it lacks error handling, performance expectations, or guidance on when to use limit effectively. Sibling tools are listed but not compared, leaving some gaps for an agent.

    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 0%, so description adds necessary meaning: limit controls number of posts (default 10), with_comments enables comment-based summary (default false). This clarifies parameters beyond the bare schema, though it could specify ranges or effects.

    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 summarizes the user's frontpage (alias: homepage, feed), using specific verbs and resources. It distinguishes from sibling tools like summarize_subreddit and reed_comments by targeting the frontpage, though it could explicitly differentiate.

    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?

    Description mentions optional use of comments for deeper summaries, implying context for when to enable with_comments. However, it does not explicitly state when to use this tool over siblings (e.g., when not to use summarize_subreddit) or provide usage prerequisites.

    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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