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shgsousa

serper-search

by shgsousa
OverviewSchemaRelated ServersScoreDiscussions
JavaScript
Remote

Server Quality Checklist

67%
Profile completionA complete profile improves this server's visibility in search results.

  • Latest release: v0.1.0

  • Disambiguation4/5

    The two tools are distinct in primary purpose: search is for query-based discovery, fetch_page_content is for retrieving a specific URL. However, the search tool also fetches content from result pages, creating slight overlap that could cause confusion, but descriptions help clarify.

    Naming Consistency4/5

    Both tool names use an imperative verb style, but 'search' is a single verb while 'fetch_page_content' is a compound verb_noun. This is a minor inconsistency, yet the names remain clear and predictable.

    Tool Count3/5

    With only two tools, the server feels thin for a search-focused MCP. They cover the core steps of search and content retrieval, but the count is at the borderline where the toolset could be perceived as minimal.

    Completeness4/5

    The domain of web search and content fetching is adequately covered: search discovers pages and fetches their content, while fetch_page_content handles arbitrary URLs. Missing features like search customization or pagination are minor and do not create dead ends.

  • Average 3.3/5 across 2 of 2 tools scored.

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

    • No community issues in the last 6 months
    • 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

  • Behavior2/5

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

    No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions 'cleaning' and a configurable length limit, but does not disclose return format, error handling, redirects, authentication requirements, or what happens with non-HTML content. This is insufficient for a fetch tool.

    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 concise sentence that immediately conveys the core action and configurable option. It is front-loaded, contains no redundant words, and every element is relevant.

    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?

    With no output schema and no annotations, the description should clarify what the returned content looks like, how the max length is applied, and behavior on failures. The description is too minimal to be complete for a fetch operation, leaving significant gaps for an agent to act reliably.

    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% for both parameters, so the schema fully documents 'url' and 'maxContentLength'. The description's mention of a 'configurable content length limit' aligns with maxContentLength but adds little beyond what the schema already conveys, warranting the baseline score of 3.

    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 fetches and cleans the main content of a web page, with a specific verb and resource. It implicitly distinguishes from the sibling 'search' tool by focusing on page content extraction rather than search, though it does not explicitly name the alternative.

    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 guidance on when to use this tool versus the sibling 'search' tool. There is no mention of scenarios, prerequisites, or exclusions, leaving the agent to infer usage from the generic purpose statement.

    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?

    No annotations are provided, so the description carries the full burden. It discloses the main behavior (search + fetch full content) but omits details about external service rate limits, potential failures, or whether the operation is read-only. The mention of 'full content' gives some context beyond a basic search.

    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, concise sentence that clearly states the core function without unnecessary detail. It is front-loaded and every word earns its place.

    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 description explains the high-level behavior but lacks details about the return structure since there is no output schema. Given the simplicity of the tool, it is adequate but does not describe result format or error handling, leaving some gaps.

    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%, and the description does not add any extra parameter meaning. The baseline of 3 applies because the schema already fully explains query, limit, and maxContentLength.

    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 searches the web via Serper API and fetches full content from each result, which distinguishes it from the sibling tool 'fetch_page_content' that presumably only fetches content from a given URL. The verb 'search' and resource 'web' are specific.

    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 for searching and retrieving content but does not explicitly state when to prefer this tool over alternatives like 'fetch_page_content'. No exclusion criteria or when-not-to-use guidance is provided.

    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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