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peakmojo

AppleScript MCP Server

by peakmojo

Server Quality Checklist

75%
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 single tool 'applescript_execute' has a clear and distinct purpose, covering all AppleScript-related operations without any competing alternatives.

    Naming Consistency5/5

    The naming is trivially consistent as there is only one tool, 'applescript_execute', which follows a clear verb_noun pattern. No inconsistencies can exist in a single-tool set, so it meets the highest standard for naming predictability.

    Tool Count2/5

    A single tool for a server that interacts with multiple Mac applications and system features feels too thin and under-scoped. The tool count of 1 is borderline for any non-trivial domain, as it forces all operations through a single interface, which may limit clarity and efficiency for agents.

    Completeness3/5

    The tool surface is notably incomplete for the domain of Mac application and system interaction. While 'applescript_execute' can handle many tasks via scripting, there are obvious gaps in structured operations like dedicated CRUD for specific resources (e.g., notes, contacts), which could lead to agent inefficiencies or failures in complex workflows.

  • Average 3.4/5 across 1 of 1 tools scored.

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

    • 0 of 2 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.

  • Tools from this server were used 1 time in the last 30 days.

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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 mentions capabilities like manipulating data and executing commands, but fails to disclose critical traits such as security implications, permission requirements, error handling, or potential side effects (e.g., data modification risks). This leaves significant gaps for a tool with broad system access.

    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 appropriately sized and front-loaded, starting with the core purpose and followed by a bulleted list of use cases. While the list is extensive, each item earns its place by illustrating the tool's scope, making it efficient for understanding capabilities without unnecessary verbosity.

    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?

    Given the tool's complexity (broad system access, 2 parameters, no annotations, no output schema), the description is partially complete. It covers purpose and use cases well but lacks behavioral details (e.g., safety, errors) and output information. This is adequate for basic understanding but insufficient for fully informed usage without additional context.

    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?

    The schema description coverage is 100%, so the schema already documents both parameters (code_snippet and timeout). The description does not add any meaning beyond what the schema provides, such as syntax examples or best practices for AppleScript code. Baseline 3 is appropriate as the schema handles parameter documentation adequately.

    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 clearly states the tool's purpose with a specific verb ('Run AppleScript code') and resource ('Mac applications and system features'), and distinguishes it from potential siblings by listing comprehensive capabilities like interacting with Notes, Calendar, Contacts, Finder, Safari, and executing shell commands. It goes beyond a tautology by detailing what the tool can achieve.

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

    Usage Guidelines3/5

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

    The description implies usage through examples of common use cases (e.g., retrieve notes, access calendar events, execute shell commands), but it does not explicitly state when to use this tool versus alternatives or provide exclusions. With no sibling tools, the guidance is adequate but lacks explicit context for decision-making.

    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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