mdify
Server Quality Checklist
Latest release: v1.0.1
- Disambiguation5/5
With only one tool, there is no possibility of confusion between tools. The single tool's purpose is clearly distinct and unambiguous.
Naming Consistency5/5The tool name 'convert_to_markdown' follows a clear verb_noun pattern in snake_case. Since there is only one tool, naming consistency is trivially maintained.
Tool Count5/5The server has a single, narrowly-scoped purpose: converting files to markdown. One tool is perfectly appropriate for this focused task, and the tool earns its place.
Completeness5/5The tool covers all major document formats (PDF, DOCX, XLSX, CSV) for conversion to markdown, fully addressing the server's stated purpose without obvious gaps.
Average 4.1/5 across 1 of 1 tools scored.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 5 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
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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
- Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the burden of behavioral disclosure. It explains that the tool runs automatically, converts files before they enter the context window, and reduces token usage—useful context. However, it does not explicitly state that the original file is not modified or address failure/edge-case behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, tightly packed sentence that conveys the trigger, input types, transformation, timing, and benefit. Every clause adds value with no repetition or filler.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the simple one-parameter schema, the description fully explains what triggers the tool, what it does, when it occurs, and why it is useful. The lack of an output schema is acceptable because the transformation outcome (markdown in the context window) is clearly implied.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the single parameter 'file_path' is already well-documented in the schema. The description does not add parameter-specific detail beyond naming the input file, which meets the baseline for high schema coverage but does not exceed it.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('converts') and explicitly lists the supported file types (PDF, DOCX, XLSX, CSV) and output format (markdown). It clearly distinguishes this tool's function as an automatic preprocessing hook, even in the absence of siblings.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description states that the tool is 'Called automatically by the PreToolUse hook when Claude Code reads a file,' which clearly communicates when it is triggered. It does not explicitly rule out manual invocation or name alternatives, but the automatic nature is clearly established.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
GitHub Badge
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- Confirm that the MCP server is working as expected.
- Confirm that there are no obvious security issues.
- Evaluate tool definition quality.
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