lsp-mcp
Server Quality Checklist
Latest release: v1.0.0
- Disambiguation5/5
With only one tool, there is no possibility of ambiguity or overlap between tools. The tool's purpose is clearly defined as analyzing a file, leaving no room for confusion or misselection.
Naming Consistency5/5A single tool inherently has perfect naming consistency, as there are no other tools to compare against. The tool name 'AnalyzeFile' follows a clear verb_noun pattern, which would be consistent if more tools were added.
Tool Count2/5One tool is too few for a server named 'lsp-mcp', which suggests a Language Server Protocol domain. A single analysis tool lacks the expected scope for language features like diagnostics, completions, or refactoring, making it feel incomplete and thin.
Completeness2/5The tool set is severely incomplete for an LSP-related server. It only provides file analysis, missing essential operations such as getting diagnostics, providing code completions, or handling references, which are core to language server functionality.
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 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
- 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 need for a 'valid Path', implying some validation, but doesn't disclose behavioral traits like what the analysis entails, whether it's read-only or destructive, error handling, or output format. The description is minimal and leaves key behaviors unspecified.
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 short sentences with zero waste—it directly states the action and a critical requirement. It's appropriately sized and front-loaded, making it easy to parse quickly without unnecessary details.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (analysis implies some processing), lack of annotations, no output schema, and low schema coverage, the description is incomplete. It doesn't explain what 'analysis' means, what results to expect, or any behavioral context, making it inadequate for an agent to understand the tool's full use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has 1 parameter with 0% description coverage, so the description must compensate. It adds meaning by specifying that the 'file_path' must be a 'valid Path', clarifying the parameter's purpose beyond the schema's basic 'File Path' title. However, it doesn't detail path formats or constraints, leaving some gaps.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5Does the description clearly state what the tool does and how it differs from similar tools?
The description states the action ('Run a file through analysis') and resource ('file'), but 'analysis' is vague—it doesn't specify what type of analysis (e.g., security, content, format) or what the analysis produces. Without sibling tools, differentiation isn't needed, but the purpose lacks specificity beyond a generic verb.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description includes a mandatory requirement ('You MUST provide a valid Path'), which is a basic usage constraint, but it doesn't explain when to use this tool (e.g., for what scenarios or goals) or any prerequisites beyond the path. No alternatives are mentioned, but since there are no sibling tools, this is less critical.
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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