hledit-mcp
Server Quality Checklist
Latest release: v0.1.3
- Disambiguation5/5
Only one tool exists, so there is no possibility for disambiguation issues. The tool combines read, edit, and batch operations into a single call, eliminating any ambiguity.
Naming Consistency5/5With a single tool, naming consistency is inherently perfect. The name 'hledit' is short, descriptive, and follows a clear verb-noun style.
Tool Count3/5Having only one tool feels thin for a file editing server, even though it handles multiple operations. It is borderline appropriate but could benefit from separating concerns like read and edit into distinct tools.
Completeness3/5The tool covers reading, editing, and batch-editing files, but lacks other common file operations such as creation, deletion, or listing. This leaves notable gaps for a complete file management surface.
Average 3.9/5 across 1 of 1 tools scored.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 16 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.
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
- Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description bears the full burden of behavioral disclosure. It discloses that anchors detect stale context before writes, which is a key behavioral trait. However, it omits details about error handling, side effects, permissions, or idempotency of write operations. For a tool with three mutable operations, more transparency would be beneficial.
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 two sentences long, front-loading the core purpose and then providing actionable usage guidance. Every sentence adds value with no unnecessary words, making it concise and well-structured.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity of three operations and 11 parameters with no output schema and no annotations, the description covers the essential workflow (read anchors then edit) and stale context detection. However, it lacks details on return formats, error handling, and safety concerns for write operations. It is adequate but not fully comprehensive.
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 all parameters have individual descriptions in the schema. The tool description only briefly mentions the operations and anchors, adding little beyond what the schema provides. Thus, it meets the baseline of 3 for a tool with full schema coverage.
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 clearly states that the tool reads, edits, or batch-edits files using hash-anchored line references, specifying the three operations (read, edit, batch) and their distinct purposes. This provides a specific verb-resource combination that distinguishes the tool even without sibling context.
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 explicitly instructs when to use each operation: 'Use op:'read' to get anchors, op:'edit' for single changes, op:'batch' for multiple edits.' It also notes that anchors come from the most recent read and detect stale context, which guides the proper sequence of operations. However, it does not mention when not to use the tool or alternatives, as no siblings are provided.
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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