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Dattics

Alegra MCP Server

by Dattics

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 ambiguity or overlap between tools. The single tool clearly handles all operations for the Alegra accounting API, so agents cannot misselect between multiple options.

    Naming Consistency5/5

    Since there is only one tool, naming consistency is inherently perfect. The tool name 'AlegraAPI' follows a clear and descriptive pattern, and there are no other tools to compare it against for inconsistency.

    Tool Count2/5

    The server has only one tool, which is too few for the stated purpose of handling CRUD operations on a wide range of resources like invoices, contacts, items, credit notes, and purchase orders. A single tool for such a broad domain forces agents to handle complex parameter parsing and lacks the granularity needed for effective tool use.

    Completeness2/5

    While the single tool claims to cover all CRUD operations for many resources, this monolithic approach creates significant gaps in the tool surface. Agents will struggle with dead ends due to the lack of specific tools for distinct operations (e.g., separate create_invoice, get_contact tools), making the surface incomplete for reliable agent workflows.

  • Average 2.9/5 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 ISC License.

  • This repository includes a README.md file.

  • No tool usage detected in the last 30 days. Usage tracking helps demonstrate server value.

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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 provided, the description carries the full burden of behavioral disclosure. It states the tool allows CRUD operations but doesn't mention authentication requirements, rate limits, error handling, or what happens during mutations (e.g., are deletions permanent?). For a generic API tool with multiple endpoints and methods, this is a significant gap in behavioral context.

    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 concise and front-loaded, stating the core purpose in the first sentence and listing example resources. It avoids unnecessary fluff, though it could be slightly more structured (e.g., explicitly noting it's a generic wrapper). Every sentence contributes to understanding the tool's scope.

    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 tool's complexity (generic API wrapper with 4 parameters, multiple endpoints/methods, no output schema, and no annotations), the description is inadequate. It doesn't explain how to construct requests, handle responses, or manage errors. For a flexible but potentially error-prone tool, more guidance is needed to ensure correct usage.

    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 description mentions 'recursos' like Facturas and Contactos, which aligns with the 'endpoint' parameter, but doesn't add meaningful semantics beyond what the 100% schema coverage already provides. The schema descriptions thoroughly document each parameter, so the description adds minimal value here. Baseline 3 is appropriate given high schema 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 tool's purpose: 'interactuar con la API de contabilidad de Alegra' and 'realizar operaciones CRUD en una amplia gama de recursos'. It specifies the action (CRUD operations) and resources (Facturas, Contactos, Items, etc.), though it doesn't need to differentiate from siblings since none exist. The description is specific but could be more precise about being a generic API wrapper rather than dedicated CRUD tools.

    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. It mentions CRUD operations on various resources but doesn't explain prerequisites, constraints, or appropriate contexts for use. Without sibling tools, this is less critical, but the description still lacks any usage context 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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