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ericthered926

DuckDuckGo MCP Server

Server Quality Checklist

67%
Profile completionA complete profile improves this server's visibility in search results.
  • Latest release: v0.6.0

  • Disambiguation4/5

    News and web searches are distinct, but the descriptions are nearly identical (both return 3 results with 150-char excerpts), which could cause an agent to confuse them when selecting a tool.

    Naming Consistency5/5

    Both tools follow a consistent duckduckgo_<type>_search pattern, making the naming predictable and clear.

    Tool Count3/5

    With only 2 tools, the server is minimal but still reasonably scoped for a search-only service. However, it feels thin compared to typical MCP servers.

    Completeness3/5

    Covers both web and news search, but lacks image, video, or other common search types, and provides no way to fetch full content from results, leaving some gaps.

  • Average 3.6/5 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
    • Last stable release on
    • No critical vulnerability alerts
    • No high-severity vulnerability alerts
    • No code scanning findings
    • CI is failing
  • 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

  • Behavior3/5

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

    Description discloses key behaviors: default max 3 articles, excerpt length 150 chars, ability to override limit. No annotations exist, so description carries full burden. Missing details on error behavior, rate limits, or side effects.

    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?

    Two concise sentences with no redundant information. Front-loaded with purpose and key details. Every word serves a purpose.

    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?

    Covers core functionality but omits explanation of time filter, safeSearch, and deprecated 'count'. No output schema provided, so return format beyond excerpts is unclear. Not fully complete for 5-parameter tool.

    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% and already describes all parameters. Description adds value only for 'limit' (override). Other params like time, count, safeSearch are not explained beyond schema, so 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?

    Description clearly states it is a news search via DuckDuckGo and specifies return format (max 3 articles, 150-char excerpts). Sibling tool 'duckduckgo_web_search' is distinguishable by name, but no explicit differentiation is given.

    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?

    Provides guidance on default behavior and how to adjust result count using 'limit' param. However, lacks explicit when-to-use vs. web search and no exclusions or alternatives mentioned.

    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?

    Discloses output behavior (max 3 results, snippet length) and filter support; with no annotations, it's acceptable but not comprehensive (no error handling or rate limits mentioned).

    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?

    Two sentences, dense and front-loaded with key info (purpose, default, override, filters). No fluff.

    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?

    Covers main features but lacks details on output structure (beyond snippets) and error/edge cases. Adequate for a simple search tool.

    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 already provides 100% parameter descriptions, so description adds minimal extra value (only references limit override and filters already covered).

    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?

    Explicitly states it is a web search tool via DuckDuckGo, distinguishes from news search sibling, and describes output (max 3 results with 150-char snippets).

    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?

    Gives basic usage guidance (default results, limit override, region/time filters) but lacks explicit when-to-use vs news search or when not to use.

    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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