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PsychoSmiley

MCP-to-MCP Tic-Tac-Toe

by PsychoSmiley

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 confusion or overlap between tools. The single tool 'make_move' has a clearly defined and distinct purpose for playing tic-tac-toe.

    Naming Consistency5/5

    Since there is only one tool, naming consistency is inherently perfect. The tool name 'make_move' follows a clear verb_noun pattern that would be appropriate if more tools existed.

    Tool Count2/5

    A single tool for a tic-tac-toe game is too minimal for the apparent scope. Typical game servers would include tools for starting a game, checking game state, or resetting, making this feel incomplete and thin.

    Completeness2/5

    The tool surface is severely incomplete for a tic-tac-toe game. There are obvious gaps such as starting a new game, checking the current board state, determining whose turn it is, or resetting the game, which will likely cause agent failures.

  • 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 is passing
  • This repository is licensed under Apache 2.0.

  • 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 the action ('Place your mark') but lacks details on behavioral traits like whether it validates moves, handles errors, updates game state, or requires specific conditions (e.g., valid turn). This leaves gaps in understanding how the tool behaves beyond the basic action.

    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 very concise and front-loaded, with two sentences that directly state the action and provide necessary positional information. There is no wasted text, making it 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 complexity (a game move tool with no annotations and no output schema), the description is incomplete. It doesn't cover behavioral aspects like error handling, game rules, or return values, which are crucial for an AI agent to use it correctly in a tic-tac-toe 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 the 'move' parameter with examples. The description adds minimal value by listing the positions (A1-A3, B1-B3, C1-C3), which clarifies the format but doesn't go beyond what the schema implies. This meets the baseline for 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 action ('Place your mark') and the resource ('on the tic-tac-toe board'), making the purpose specific and understandable. It doesn't need to differentiate from siblings since there are none, but it could be slightly more precise about what 'your mark' means (e.g., X or O).

    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, such as prerequisites (e.g., game state, turn order), alternatives (none exist here), or exclusions. It simply states what the tool does without context for its application.

    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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