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danielbushman

Quickbase MCP Server

by danielbushman
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TypeScript
Remote

Server Quality Checklist

58%
Profile completionA complete profile improves this server's visibility in search results.

  • Latest release: v1.0.0

  • Disambiguation5/5

    With only one tool, there is no possibility of ambiguity or overlap between tools. The tool 'check_configuration' has a single, clear purpose that cannot be confused with any other tool in the set.

    Naming Consistency5/5

    The tool name 'check_configuration' follows a consistent verb_noun pattern. Since there is only one tool, there is no inconsistency in naming conventions to evaluate.

    Tool Count2/5

    A single tool is too few for a server named 'Quickbase MCP Server', which implies broader functionality for interacting with Quickbase (e.g., CRUD operations on records, tables, or apps). This minimal set feels incomplete and under-scoped for the apparent domain.

    Completeness1/5

    The tool set is severely incomplete for a Quickbase integration server. It only provides a configuration check, lacking any operations to create, read, update, or delete data, manage tables or apps, or perform other core Quickbase workflows, leaving significant gaps that will cause agent failures.

  • Average 2.8/5 across 1 of 1 tools scored.

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

    • 0 of 1 community issues answered or closed 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 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

  • 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. It implies a read-only check but doesn't disclose behavioral traits like what happens if configuration is invalid, whether it requires authentication, or what the output indicates. This leaves significant gaps in understanding the tool's operation.

    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, clear sentence with no wasted words, making it efficient and front-loaded. However, it could be more structured by including key details like output format or usage context, slightly reducing its completeness.

    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?

    Given the tool's complexity (a configuration check with no parameters) and lack of annotations or output schema, the description is incomplete. It doesn't explain what 'properly set up' means, what the check entails, or what results to expect, leaving the agent with insufficient context for effective use.

    Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

    Parameters4/5

    Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

    The tool has 0 parameters, and schema description coverage is 100%, so no parameter documentation is needed. The description doesn't add parameter details, which is appropriate, but it could have mentioned implicit inputs like environment settings. Baseline is 4 due to the lack of parameters.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose3/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    The description states the tool's purpose as checking Quickbase configuration setup, which is clear but vague about what 'properly set up' entails. It uses a specific verb ('check') and resource ('Quickbase configuration'), but lacks detail on scope or criteria for proper setup, making it moderately informative.

    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 provided on when to use this tool, such as before other operations or in troubleshooting scenarios. With no sibling tools, differentiation isn't needed, but the description doesn't offer any usage context or prerequisites, leaving it as a basic statement.

    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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  • Evaluate tool definition quality.

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