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nuggenlabs

tableau-embed

by nuggenlabs

Server Quality Checklist

67%
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  • Latest release: v0.1.0

  • Disambiguation5/5

    Only one tool exists in the set, so there is no possibility of confusion with other tools. The single tool's purpose is clearly delineated, and the description explicitly distinguishes it from other potential tools.

    Naming Consistency5/5

    The tool name 'embed_interactive_dashboard' follows a consistent verb_noun pattern. With only one tool, consistency is trivially maintained.

    Tool Count3/5

    A single tool feels thin, especially if the server were expected to cover broader Tableau functionality. However, its narrow scope—embedding one specific dashboard—makes the count borderline acceptable.

    Completeness5/5

    For its stated purpose of rendering the existing dashboard, the tool fully covers the required operation. The description explicitly scopes out data querying, indicating the server is intentionally limited to embedding.

  • Average 4.8/5 across 1 of 1 tools scored.

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

    • No community issues in the last 6 months
    • 5 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.

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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

  • Behavior5/5

    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 reveals that the tool returns no numbers itself, reports the user's current filter/parameter state, and that re-rendering mounts an unfiltered viz, discarding the user's applied filters. This is thorough and prevents misuse.

    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 long but front-loaded: the first sentence states the core purpose and interactivity. It then systematically covers exclusions, alternatives, frequency limits, and filter-state behavior. There is minor redundancy, such as ending with 'Do not re-embed' after already stating 'Do NOT call it again', which makes it slightly more verbose than necessary.

    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?

    With no output schema, no annotations, and no sibling tools, the description compensates by covering return behavior, filter-state reporting, data-query handoff, and alternative tool limitations. It is complete for a parameterless tool, anticipating common follow-up questions and misuse scenarios.

    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 input schema has zero parameters and 100% schema description coverage, which is the baseline 4 for parameterless tools. The description correctly adds no parameter syntax details since none exist, and it focuses instead on usage and behavioral constraints.

    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 uses specific verbs ('renders', 'shows') and clearly identifies the exact resource: the user's own Superstore Performance dashboard, live and interactive. It explicitly distinguishes this tool from alternatives by stating that no other tool can do this and that other Tableau tools only return URLs or static images.

    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?

    Provides explicit when-to-use triggers ('When the user asks to see, show, open, display or view...'), strong exclusions ('Do NOT recreate, rebuild, approximate or simulate'), and alternative recommendations (use a Tableau data query tool for data questions). It also enforces a strict frequency limit ('at most once per conversation') and warns against re-ordering.

    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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Glama performs regular codebase and documentation scans to:

  • 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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