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databutton

Databutton MCP Server

Official
by databutton

Server Quality Checklist

67%
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 has a single, clear purpose that cannot be confused with any other tool in the set.

    Naming Consistency5/5

    Since there is only one tool, naming consistency is inherently perfect. The tool name 'submit_app_requirements' follows a clear verb_noun pattern, and there are no other tools to deviate from this pattern.

    Tool Count2/5

    A single tool is too few for a server named 'Databutton MCP Server', which suggests a broader scope for app development or management. One tool cannot cover the expected domain comprehensively, making it feel thin and under-scoped.

    Completeness2/5

    The tool set is severely incomplete for the implied domain of app development or requirements management. With only a submission tool, there are obvious gaps such as retrieving, updating, or deleting requirements, and no coverage of other app-related operations like deployment or testing.

  • Average 1.6/5 across 1 of 1 tools scored.

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

    • No community issues in the last 6 months
    • 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.

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    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

  • Behavior1/5

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

    With no annotations provided, the description carries the full burden of behavioral disclosure but fails completely. It doesn't indicate whether this is a read or write operation, what permissions might be required, whether the submission is reversible, what happens to existing data, or what the expected response looks like. For a tool that appears to create or submit data, this lack of behavioral information is a critical gap.

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness3/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    The description is extremely concise at just two words, but this represents under-specification rather than effective brevity. While it's front-loaded with the core action, it lacks any supporting information that would help an agent understand the tool's purpose and usage. The minimal length doesn't serve the user well in this case.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness1/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    Given the complexity of the tool (3 required parameters including a nested object with 4 required fields), no annotations, no output schema, and incomplete schema documentation, the description is completely inadequate. It provides no information about what the tool actually does, how to use it properly, what to expect in return, or any behavioral characteristics. This leaves the agent with insufficient context to select and invoke the tool correctly.

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

    Parameters2/5

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

    The description provides no information about parameters beyond what's in the schema. With 67% schema description coverage (2 of 3 top-level parameters have descriptions), the description doesn't compensate for the missing parameter documentation. It doesn't explain the relationship between parameters, provide examples, or clarify the purpose of the nested 'spec' object beyond what the schema already indicates.

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

    Purpose2/5

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

    The description 'Submit app requirements' is a tautology that essentially restates the tool name. It provides no additional information about what specific action is performed, what resource is being acted upon, or what the outcome of submission entails. While it mentions the verb 'submit', it doesn't clarify what happens after submission or what system receives these requirements.

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

    Usage Guidelines1/5

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

    The description provides absolutely no guidance about when to use this tool. There are no sibling tools mentioned, but the description doesn't indicate any prerequisites, appropriate contexts, or scenarios where this tool should be selected. It offers no comparison to alternatives or clarification about when this specific submission action is appropriate.

    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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