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jairosoft-com

Microsoft Calendar MCP Server

Server Quality Checklist

67%
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  • Latest release: v0.1.0

  • Disambiguation5/5

    There is only one tool, so there is no possibility of confusing it with another tool. Its purpose of fetching calendar events within a time range is clearly stated.

    Naming Consistency4/5

    The tool name follows a clear get_noun structure and is descriptive. However, the 'time_specific' suffix is a bit awkward and there is no broader naming pattern to evaluate with only one tool.

    Tool Count2/5

    A single tool for a Microsoft Calendar server is far too few for the apparent scope of the domain. Even a focused calendar server would typically need additional event and calendar management operations.

    Completeness1/5

    The server only supports fetching events for a time range. It lacks create, update, delete, calendar listing, and event detail operations, making the surface severely incomplete for calendar workflows.

  • Average 3.7/5 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?

    No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states that it returns a dictionary or an error message; it does not mention authentication requirements, read-only guarantees, rate limits, pagination, or how the time range boundaries are handled. This is a substantial gap for a tool that accesses a user's calendar data.

    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 compact and front-loaded, starting with the core purpose before moving into arguments and return value. Each line contributes useful information, and there is no redundant filler.

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

    Completeness3/5

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

    For a simple four-parameter tool, the description covers the basics of invocation and return behavior. Yet there are no annotations or output schema, and the description omits important context such as what 'dictionary of events' actually contains, error scenarios, and the discrepancy between the stated timezone default and the schema default. This is adequate but leaves meaningful 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 0%, and the description does add meaning by labeling user_id as a Microsoft Graph user ID, start/end as ISO datetime strings, and timezone as an IANA timezone. However, the description states 'timezone (default: UTC)' while the input schema declares a default of 'Asia/Manila', creating a direct conflict that undermines reliability.

    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 states a specific action and resource: 'Fetch calendar events for a user using Microsoft Graph API.' This clearly identifies what the tool does without relying on the tool name. The resource and operation are unambiguous, even with no sibling tools to differentiate from.

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

    Usage Guidelines4/5

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

    The description provides clear context that this tool is used to retrieve a user's calendar events, with start/end/timezone inputs implying a time-bounded query. It does not discuss exclusions or alternatives, but there are no sibling tools or competing MCPs described, so the guidance is reasonably complete for a straightforward fetch operation.

    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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