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gregpriday

Ask Google MCP Server

by gregpriday
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JavaScript
Remote

Server Quality Checklist

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

  • Latest release: v0.10.2

  • Disambiguation5/5

    Only one tool exists, so there is no risk of confusion between tools. The tool's purpose is clear and distinct.

    Naming Consistency5/5

    The single tool name 'ask_google' follows a clear verb_noun pattern, which is consistent with best practices. No other tools exist to create inconsistency.

    Tool Count3/5

    A single tool is borderline for a server. While it serves a specific purpose (web search with grounding), users might expect additional related tools such as search with different parameters or result formatting.

    Completeness3/5

    The tool covers the core functionality of web search, but lacks features like search type selection, result filtering, or session management. Minor gaps exist but the tool can still perform its primary task effectively.

  • Average 4.5/5 across 1 of 1 tools scored.

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

    • 1 of 1 community issues answered or closed in the last 6 months
    • 14 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 passing

  • 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

  • Behavior4/5

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

    Annotations already declare readOnlyHint, openWorldHint, and idempotentHint. The description adds context about using Gemini with Google Search grounding and the nature of queries. No contradiction with annotations.

    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?

    Description is brief (3 sentences), front-loaded with purpose, and every sentence adds value. No unnecessary words 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 no sibling tools, rich annotations, full schema coverage, and presence of output schema, the description is complete. It covers when to use, when not to use, and the nature of the tool without omissions.

    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 detailed descriptions and examples for both parameters. The description adds only a minor note that queries can be short or long, but the schema already covers parameter semantics adequately. Baseline 3 applies.

    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 is for current/latest facts post-dating training, listing specific use cases like versions, API changes, and breaking news. It distinguishes itself from general knowledge by explicitly stating what not to use it for.

    Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

    Usage Guidelines5/5

    Does the description explain when to use this tool, when not to, or what alternatives exist?

    Explicitly provides when to use (current topics) and when not to use (stable syntax, training knowledge). Also mentions both short lookups and multi-paragraph briefs are acceptable, offering clear guidance on usage scenarios.

    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 there are no obvious security issues.
  • Evaluate tool definition quality.

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