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Server Quality Checklist

83%
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  • Latest release: v0.3.3

  • Disambiguation5/5

    Each tool serves a distinct purpose: one for searching the web and one for reading the content of a specific URL, with no overlap.

    Naming Consistency4/5

    Both tools use snake_case and follow a verb_noun pattern, but one includes the server prefix 'searxng_' while the other uses just 'web_', creating a minor inconsistency.

    Tool Count3/5

    Two tools is on the lower end for a search server, but the pair covers the essential actions of searching and reading pages, making it acceptable.

    Completeness4/5

    The tool set covers the core search-and-read workflow, but lacks additional features like result filtering or search history, which are not essential.

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

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

    • 15 of 16 issues responded to in the last 6 months
    • No commit activity data available
    • Last stable release on
    • No critical vulnerability alerts
    • No high-severity vulnerability alerts
    • No code scanning findings
    • CI is passing
  • This repository is licensed under MIT License.

  • This repository includes a README.md file.

  • Tools from this server were used 1 time in the last 30 days.

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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 and openWorldHint=true. The description adds that it uses SearXNG API and is for broad searches, but does not disclose additional behavioral traits like rate limits, authentication, or result format. The description is consistent with annotations but adds minimal new 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?

    The description is two sentences long, concise, and front-loaded with the core action. Every sentence adds value, and there is no redundant or unnecessary information.

    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 well-described input schema and clear annotations, the description adequately covers purpose and usage context. However, it omits details about the return format or how results are structured, which would be helpful since there is no output schema. Still, for a search tool with openWorldHint, it is sufficient.

    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% with clear descriptions for all 5 parameters. The description adds no additional meaning beyond the schema, only contextualizing usage. Baseline 3 is appropriate as the schema already documents parameters thoroughly.

    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 performs a web search using the SearXNG API, ideal for general queries, news, articles, and online content. It uses a specific verb ('performs') and resource ('web search'), and distinguishes from sibling tool 'web_url_read' by clarifying its broad use case.

    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 when to use: 'for broad information gathering, recent events, or when you need diverse web sources.' However, it does not explicitly state when not to use or mention alternatives beyond the sibling context. The guidance is clear but lacks exclusions.

    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?

    Annotations already declare readOnlyHint=true and openWorldHint=true. The description adds 'Read the content from an URL' which is consistent but does not provide additional behavioral context beyond what annotations offer.

    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 two sentences long, with the purpose front-loaded in the first sentence. Every word is informative; no fluff or repetition.

    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 the rich input schema (6 parameters fully described) and the simple read operation, the description is complete enough. No output schema exists but the behavior is straightforward.

    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 6 parameters. The description does not add parameter-specific meaning beyond the schema, so a baseline score 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 verb 'Read' and the resource 'content from an URL', and implicitly distinguishes from the sibling 'searxng_web_search' by focusing on reading a specific URL rather than searching.

    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 says 'Use this for further information retrieving to understand the content of each URL', which implies usage after a search. It provides clear context but does not explicitly state when not to use 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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  • 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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