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agcraft

memopaper-mcp

by agcraft

Server Quality Checklist

67%
Profile completionA complete profile improves this server's visibility in search results.
  • Latest release: v1.0.3

  • Disambiguation5/5

    Only one tool exists, so there is no risk of confusing separate tools. The internal actions (add, list, get, delete, etc.) are distinct and well-named, making selection unambiguous.

    Naming Consistency4/5

    The tool is named 'memo' and uses simple verb-based actions. While the verb_noun pattern is not used at the tool level, the internal actions are consistently lowercase verbs, and the overall naming is predictable and readable.

    Tool Count3/5

    A single tool is quite thin for a tool surface, even though it packs many operations. The server would benefit from splitting actions into separate tools, but the current count is not a functional problem.

    Completeness5/5

    The tool provides full CRUD plus list, search-by-index, latest/oldest, pop (read+delete), and stats. This covers the memo domain thoroughly, leaving no obvious dead ends.

  • Average 3.8/5 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

  • Behavior4/5

    Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

    The description explicitly flags 'pop' as 'read + delete latest (destructive)' and marks 'delete' as destructive, which discloses important side effects. It also lists all actions, making the tool's behavior predictable. It does not mention errors, permissions, or idempotency, but the destructive labeling is a positive contribution given the absence of annotations.

    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 information-dense, using a clear 'action: parameters' format. It front-loads the tool's purpose and provides a complete action list in just a few lines, without redundant prose. Every line serves to clarify an action, making it highly efficient.

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

    Completeness4/5

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

    Given the tool's multi-action complexity and absence of output schema, the description covers all actions, required parameters, and destructive operations. It lacks return-type descriptions, but those are not explicitly required. The description is sufficient for an agent to select and invoke actions correctly, though a brief note on expected outputs would enhance completeness.

    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 input schema already covers 86% of parameters with descriptions, including 'Required for' annotations for text, uuid, index, limit, and visibility. The description essentially restates this information in the action list, adding little new meaning beyond the schema. It does clarify that 'group' defaults to 'inbox', which is also present in the schema. Overall, the description does not significantly augment the schema's parameter semantics.

    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 identifies the tool as managing memos, enumerating all 10 actions (add, list, get, get_nth, latest, oldest, pop, delete, edit, stats) with required parameters. While 'Save a memo or manage existing ones' is a bit generic, the action list clarifies the full scope and distinguishes the multiple operations available.

    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?

    Each action's required and optional parameters are listed, which serves as operational guidance for how to use the tool. However, there is no explicit statement of when to use this tool versus alternatives, nor any context for typical use cases. Given there are no siblings, the lack of comparison is not a major flaw, but a sentence on recommended usage would have been helpful.

    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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