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AndrewKlement

Gaggiuino MCP Server

by AndrewKlement
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Python
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Server Quality Checklist

67%
Profile completionA complete profile improves this server's visibility in search results.

  • Latest release: v1.0.0

  • Disambiguation5/5

    Each tool has a clearly distinct purpose: getLatestShotId retrieves the most recent shot identifier, getShotData fetches detailed data for a specific shot ID, and getStatus provides machine status information. There is no overlap or ambiguity between these functions.

    Naming Consistency5/5

    All three tools follow a consistent verb_noun pattern with camelCase naming (getLatestShotId, getShotData, getStatus). The naming is predictable and uniform throughout the set.

    Tool Count2/5

    With only 3 tools, the set feels thin for an espresso machine control server. There are obvious gaps in functionality, such as tools to start/stop shots, adjust settings, or manage profiles, which limits the server's utility for comprehensive machine interaction.

    Completeness2/5

    The tool surface is severely incomplete for an espresso machine domain. It only provides read-only operations (getLatestShotId, getShotData, getStatus) with no ability to control the machine (e.g., start_shot, set_temperature), update configurations, or manage other critical aspects like brewing profiles or maintenance.

  • Average 3/5 across 3 of 3 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. It mentions 'Get' which implies a read operation, but doesn't disclose behavioral traits such as error handling, data format, permissions needed, or rate limits. This is a significant gap for a tool with no annotation coverage.

    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 brief and front-loaded with the main purpose, followed by a parameter explanation. It avoids unnecessary words, but the structure could be improved by integrating the parameter info more seamlessly or adding context in a single coherent sentence.

    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?

    Given no annotations, no output schema, and low schema coverage, the description is incomplete. It lacks details on return values, error cases, or how it interacts with sibling tools. For a tool with one parameter but undefined behavior, this is inadequate.

    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 0%, but the description adds meaning by specifying that 'id' is a 'Shot id'. This clarifies the parameter's purpose beyond the schema's basic type. However, it doesn't detail format, constraints, or examples, so it only partially compensates for the low coverage.

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

    Purpose4/5

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

    The description clearly states the action ('Get espresso shot data') and the resource ('for an id'), making the purpose understandable. However, it doesn't differentiate from sibling tools like 'getLatestShotId' or 'getStatus', which might retrieve related data, so it doesn't reach the highest score.

    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 versus alternatives like 'getLatestShotId' or 'getStatus'. The description only states what it does, without context on prerequisites, scenarios, or exclusions, leaving the agent to infer usage.

    Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

  • Behavior2/5

    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. It states what the tool does but doesn't add context on traits like whether it's read-only, requires authentication, has rate limits, or what the return format might be. This leaves significant gaps for an agent to understand how to invoke it correctly.

    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, clear sentence with zero waste, front-loading the essential information. It's appropriately sized for a simple tool with no parameters, making it highly efficient and easy to parse.

    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?

    Given the lack of annotations and output schema, the description is incomplete. It doesn't explain what the tool returns (e.g., the format of the shot ID or any error cases), which is crucial for an agent to use it effectively. For a tool with no structured output documentation, more context is needed.

    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 tool has 0 parameters, and schema description coverage is 100%, so there's no need for parameter details in the description. The baseline for this scenario is 4, as the description doesn't need to compensate for any parameter gaps, and it efficiently avoids unnecessary information.

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

    Purpose4/5

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

    The description clearly states the verb ('Get') and resource ('latest espresso shot id'), making the purpose specific and understandable. However, it doesn't differentiate from sibling tools like 'getShotData' or 'getStatus', which might retrieve related information, so it doesn't reach the highest score.

    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 versus alternatives like 'getShotData' or 'getStatus'. The description implies it's for retrieving the latest shot ID, but there's no explicit context, exclusions, or comparisons to help an agent choose appropriately.

    Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

  • Behavior2/5

    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. It states the action ('Get') but doesn't clarify what 'status' entails (e.g., operational state, error codes, maintenance info), response format, or any side effects like rate limits or authentication needs. This leaves significant gaps for a tool with no structured safety hints.

    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 extremely concise—a single sentence with no wasted words. It front-loads the core purpose ('Get espresso machine status') effectively, making it easy to parse quickly.

    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?

    Given the lack of annotations and output schema, the description is incomplete. It doesn't explain what the 'status' return value includes (e.g., JSON structure, possible states), which is critical for an agent to use the tool correctly. For a tool with no structured output, more context is needed.

    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 0 parameters with 100% coverage, so no parameter documentation is needed. The description doesn't add parameter details, which is appropriate here, and it implies no inputs are required, aligning with the schema. A baseline of 4 is given since no parameters exist.

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

    Purpose4/5

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

    The description clearly states the verb ('Get') and resource ('espresso machine status'), making the purpose specific and understandable. It doesn't explicitly distinguish from sibling tools like 'getLatestShotId' or 'getShotData', but the resource focus is clear enough for basic differentiation.

    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?

    The description provides no guidance on when to use this tool versus alternatives like 'getLatestShotId' or 'getShotData'. It lacks context about prerequisites, timing, or exclusions, leaving the agent to infer usage based on tool names alone.

    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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