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lesterlxy
by lesterlxy

Server Quality Checklist

58%
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  • Latest release: v0.1.0

  • Disambiguation5/5

    Each tool serves a distinct purpose: fetching subreddit posts, fetching comments for a specific post, and searching Reddit. There is no overlap or ambiguity between them.

    Naming Consistency4/5

    All tools share the reddit_ prefix, and two use verb_noun (get_posts, get_comments). The third, reddit_search, deviates slightly by using a bare verb, but the pattern is still clear and predictable.

    Tool Count5/5

    Three tools is a well-scoped set for a Reddit reading server, covering core read operations without unnecessary bloat.

    Completeness4/5

    The server covers the primary read workflows: viewing posts, viewing comments, and searching. Minor gaps like fetching a specific post by ID or user profiles could be added, but the core domain is adequately covered.

  • Average 3.5/5 across 3 of 3 tools scored. Lowest: 2.9/5.

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

    • No community issues in the last 6 months
    • 5 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
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  • 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?

    No annotations are provided, so the description must carry the behavioral disclosure burden. It only hints at the endpoint (old.reddit.com .json), implying raw JSON and possible rate limits, but does not mention auth, response format, or other behavioral traits.

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

    Conciseness4/5

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

    The description is a single, concise sentence without redundancy. However, it is terse and omits useful context, slightly reducing its structural value.

    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?

    Although an output schema exists and parameters are fully documented, the description lacks usage context (e.g., when to use vs. siblings) and behavioral caveats (e.g., interaction between sort and time_filter). This makes the overall description incomplete.

    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 has 100% coverage with descriptions for all parameters, including defaults and allowed values (e.g., sort, time_filter). The description adds no additional meaning, so the baseline of 3 is appropriate.

    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?

    The description clearly states the tool searches Reddit and specifies the method (old.reddit.com .json endpoints). It distinguishes from sibling tools by the action 'search', though it doesn't explicitly contrast with reddit_get_posts or reddit_get_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?

    No guidance is given on when to use this tool versus the sibling tools. There is no mention of scenarios, prerequisites, or exclusions, 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 carries full burden. It mentions old.reddit.com .json endpoints, which hints at unofficial API use, but it does not disclose read-only nature, rate limits, pagination behavior, or response format. The word 'Fetch' implies non-destructive, but this is not explicit.

    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, front-loaded sentence with no unnecessary information. It efficiently conveys the core action and endpoint without filler or 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?

    An output schema is present, so return values are covered. The description is adequate for a simple read-only fetch with a well-documented schema, though it could benefit from explicit usage alternatives or behavioral context. Overall, it is complete enough for selection and 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?

    The input schema covers all 3 parameters with descriptions (shortcode, sort options, limit range), so schema coverage is 100%. The description adds no parameter-specific meaning beyond the phrase 'comment tree,' which indirectly relates to sort and limit. Baseline 3 applies because schema does the heavy lifting.

    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 fetches a post and its comment tree, using specific endpoints (old.reddit.com .json). The verb 'Fetch' plus the resource (post and comment tree) distinguishes it from siblings like reddit_get_posts and reddit_search.

    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?

    No explicit when-to-use guidance or alternatives are mentioned. The description implies it is for retrieving comments on a specific post, but it doesn't state when not to use it or reference sibling tools. The context is implied by the resource type.

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

  • Behavior3/5

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

    With no annotations, the description carries the burden of behavioral disclosure. It adds a technical detail (old.reddit.com .json endpoints) but does not mention rate limits, authentication, or side effects. For a read-only fetch operation, this is adequate but not rich.

    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 sentence that directly states the tool's function without unnecessary words. It is front-loaded and efficient.

    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?

    The tool has moderate complexity with 4 parameters and an output schema. The description is brief but sufficient for a simple fetch operation, though it could mention potential caveats like pagination or endpoint-specific behavior to be more complete.

    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%, so the parameters are fully documented by the schema. The description does not add any extra detail beyond what the schema already provides, earning the baseline score.

    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 fetches posts from a subreddit using a specific endpoint. The verb 'fetch' and resource 'posts from a subreddit' distinguish it from sibling tools for comments and search.

    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 implies the primary use case: retrieving posts from a given subreddit. While it doesn't explicitly state when not to use it, the contrast with sibling tool names (comments, search) provides clear contextual guidance.

    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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