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maoruibin

MCP-Server-Inbox

by maoruibin
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JavaScript
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 confusion or overlap between tools, making disambiguation perfect. The tool's purpose is singular and clearly defined as writing notes to an inbox.

    Naming Consistency5/5

    Since there is only one tool, naming consistency is inherently perfect. The tool name 'write_note' follows a clear verb_noun pattern, and there are no other tools to compare or create inconsistency with.

    Tool Count2/5

    A single tool is too few for a server named 'MCP-Server-Inbox', which suggests a domain involving inbox management. This minimal toolset likely leaves significant gaps in functionality, such as reading, updating, or deleting notes, making it inappropriate for the implied scope.

    Completeness1/5

    The tool surface is severely incomplete for an inbox server. It only provides a 'write_note' tool, lacking essential operations like reading notes, listing notes, updating notes, deleting notes, or managing inbox states, which will cause agent failures in handling inbox workflows.

  • Average 2.7/5 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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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?

    With no annotations, the description carries full burden but only states the action without behavioral details. It doesn't disclose permissions needed, side effects, error conditions, or response format. 'Write' implies mutation, but no further context is given.

    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?

    The description is a single, efficient sentence with no wasted words. It is appropriately sized for a simple tool and front-loaded with the core action.

    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?

    For a mutation tool with no annotations and no output schema, the description is incomplete. It lacks behavioral context, usage guidelines, and details on what happens after writing (e.g., success response, error handling). The high schema coverage doesn't compensate for these gaps.

    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 description coverage is 100%, so the schema fully documents parameters (title and content). The description adds no parameter semantics beyond what the schema provides, meeting the baseline of 3 for high coverage.

    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 'Write note to inBox' states the action (write) and target (note to inBox), but is vague about what 'inBox' refers to (a specific location, application, or system). It doesn't distinguish from siblings since none exist, but the purpose lacks specificity beyond basic verb+resource.

    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 prerequisites, alternatives, or context. The description only states what it does, with no indication of appropriate scenarios or limitations.

    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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