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oldrepublicwizard

Cedardiff MCP Server

by oldrepublicwizard
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Server Quality Checklist

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  • Latest release: v1.0.0

  • Disambiguation5/5

    With only one tool, there is no possibility of ambiguity or overlap between tools. The tool 'edit_file' has a clearly distinct purpose that cannot be confused with any other tool in this set.

    Naming Consistency5/5

    Since there is only one tool, naming consistency is inherently perfect. The tool name 'edit_file' follows a clear verb_noun pattern, and there are no other tools to cause inconsistency.

    Tool Count2/5

    A single tool is generally too few for most server purposes, as it limits functionality and suggests an incomplete or narrow scope. For a server named 'Cedardiff MCP Server' which implies CEDAR-related operations, one tool feels insufficient to cover typical needs like validation, querying, or other file operations.

    Completeness1/5

    The server is severely incomplete for its apparent domain of CEDAR operations. With only an 'edit_file' tool, there are obvious gaps such as creating, reading, validating, or deleting files, and no coverage of other CEDAR-related tasks like policy management or analysis.

  • Average 2.9/5 across 1 of 1 tools scored.

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

  • This repository is archived. Archived repositories automatically receive an F maintenance tier.

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  • 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?

    With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions 'Edit a file' which implies mutation, but fails to describe critical behaviors like permissions required, whether edits are reversible, error handling, or side effects. This leaves significant gaps for a mutation tool.

    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, efficient sentence with zero waste. It is appropriately sized and front-loaded, directly stating the tool's purpose without unnecessary elaboration, 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 that this is a mutation tool with no annotations and no output schema, the description is insufficiently complete. It lacks details on behavioral traits, error conditions, return values, or practical usage context, which are critical for safe and effective tool invocation.

    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 fully documents both parameters ('script' and 'workingDir'). The description adds no additional parameter semantics beyond what's in the schema, such as examples of CEDARScript commands or working directory conventions, meeting 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 ('Edit a file') and specifies the method ('using CEDARScript syntax'), providing a specific verb+resource combination. However, without sibling tools for comparison, it cannot demonstrate differentiation from alternatives, 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?

    The description provides no guidance on when to use this tool versus other file editing methods or alternatives. It lacks context about prerequisites, constraints, or typical use cases, offering only the basic functionality without usage context.

    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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