Skip to main content
Glama
famtong8-dev

W3 MCP LSP Server

by famtong8-dev

Server Quality Checklist

67%
Profile completionA complete profile improves this server's visibility in search results.
  • Latest release: v0.1.5

  • Disambiguation5/5

    Each tool targets a distinct LSP operation: definition lookup, hover information, and reference search. There is no overlap in their purposes, making selection unambiguous.

    Naming Consistency4/5

    All tools share the 'lsp_' prefix and follow an action-oriented naming pattern. However, 'lsp_hover' lacks the object component found in 'lsp_goto_definition' and 'lsp_find_references', creating a minor structural inconsistency.

    Tool Count5/5

    The three tools represent a focused, minimal set of LSP navigation features. Each earns its place without unnecessary bloat, and the count falls within the well-scoped range.

    Completeness3/5

    The core navigation operations (definition, hover, references) are covered, providing a usable foundation. However, other common LSP features such as document symbols, implementation, or code completion are missing, which could require workarounds for certain tasks.

  • Average 4.5/5 across 3 of 3 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
    • Last stable release on
    • 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.

    Tip: use the "Try in Browser" feature on the server page to seed initial usage.

  • Add a glama.json file to provide metadata about your server.

  • If you are the author, simply .

    If the server belongs to an organization, first add glama.json to the root of your repository:

    {
      "$schema": "https://glama.ai/mcp/schemas/server.json",
      "maintainers": [
        "your-github-username"
      ]
    }

    Then . Browse examples.

  • Add related servers to improve discoverability.

How to sync the server with GitHub?

Servers are automatically synced at least once per day, but you can also sync manually at any time to instantly update the server profile.

To manually sync the server, click the "Sync Server" button in the MCP server admin interface.

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

  • Behavior4/5

    Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

    Annotations already declare readOnlyHint=true, destructiveHint=false, and idempotentHint=true, covering the safety profile. The description adds valuable behavioral context: the strict 0-indexing requirement, the return format ('file:line:column' or 'Definition not found'), and an example. This goes beyond what annotations convey.

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness4/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    The description is well-organized with headers, a critical warning, examples, and a return type. It is longer than minimal but justified by the tricky 0-indexing nuance. Some redundancy exists (e.g., repeated indexing formulas), but the structure and front-loaded purpose keep it effective.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness5/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    With annotations covering safety and an output schema presumably present, the description thoroughly covers purpose, parameters, return value, and a detailed example. It even explains edge-case conversion. It is complete for a tool of this complexity.

    Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

    Parameters5/5

    Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

    Despite the schema having descriptive parameter entries, the context indicates 0% schema description coverage. The description fully compensates by explicitly stating the 0-indexing requirement, providing conversion formulas, and offering a concrete example with file_path. It clearly explains how to interpret and provide each parameter.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose5/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    The description starts with a clear and specific verb+resource phrase: 'Jump to symbol definition location.' This precisely distinguishes it from sibling tools like lsp_hover (show info) and lsp_find_references (find usages). The purpose is unambiguous.

    Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

    Usage Guidelines3/5

    Does the description explain when to use this tool, when not to, or what alternatives exist?

    The description clearly implies the use case (navigate to a symbol's definition) but does not explicitly state when to prefer this over alternatives or mention exclusions. Sibling tools exist but are not referenced, so the guidance is implied rather than explicit.

    Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

  • Behavior5/5

    Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

    The description goes well beyond annotations by emphasizing the strict 0-indexing requirement, providing a conversion formula, and detailing the exact return format with examples. This is critical behavioral information not covered by the readOnlyHint or idempotentHint annotations.

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness4/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    The description is well-structured with clear sections (CRITICAL, WRONG, CORRECT, Example), but it is somewhat lengthy and repeats examples also found in the nested schema. It remains front-loaded with the primary purpose and key constraint.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness5/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    The description is comprehensive for this tool: it covers input requirements, output format, and provides a worked example. Given the tool's complexity and the presence of an output schema, this description provides all necessary context for correct invocation.

    Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

    Parameters5/5

    Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

    The description explains each parameter (line, character, file_path) with concrete examples and the conversion formula from editor to LSP indexing. This adds significant meaning beyond the minimal top-level schema description, compensating for the 0% schema description coverage.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose5/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    The description opens with 'Find all usages/references of symbol at position,' which clearly states the tool's function with a specific verb and resource. This distinguishes it from sibling tools like lsp_goto_definition and lsp_hover by its focus on references.

    Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

    Usage Guidelines3/5

    Does the description explain when to use this tool, when not to, or what alternatives exist?

    The description implies usage (finding references) but does not explicitly contrast this tool with alternatives like lsp_goto_definition or lsp_hover, nor does it state when not to use it. Thus, the usage is clear from context but lacks explicit guidance.

    Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

  • Behavior5/5

    Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

    The description adds substantial behavioral context beyond the annotations: it emphasizes the critical 0-indexing requirement, shows the exact return format ('(parameter) name: string' or 'No info available'), and explains the formula for converting editor values. The annotations already state readOnly, idempotent, and non-destructive, so the description enriches rather than repeats them. No contradictions found.

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness4/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    The description is well-structured with a critical warning at the top, clear do/don't examples, and a character indexing diagram. It is somewhat repetitive—the 0-indexing rule is repeated across the warning, character counting section, and schema—but the repetition reinforces a crucial point. It earns a 4 because while not maximally concise, it prioritizes the most important information and remains scannable.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness5/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    The description is highly complete: it covers the tool's purpose, input parameters with exhaustive indexing guidance, return value format, and a concrete usage example. The output schema is provided, so return value details do not need to be over-explained. Given the potential for off-by-one errors, this description fully equips an agent to invoke the tool correctly.

    Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

    Parameters5/5

    Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

    The description goes far beyond the schema by providing detailed 0-indexing examples, a character-counting illustration, and the conversion formula (lsp_value = editor_value - 1). This adds substantial meaning to the 'line' and 'character' parameters beyond what the schema's descriptions offer. It also clarifies the file_path parameter as relative to the project root. The abundant examples make the parameter usage crystal clear.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose5/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    The description opens with a specific verb+resource: 'Get type information and documentation for symbol at position.' This clearly distinguishes it from sibling tools like lsp_goto_definition (jump to definition) and lsp_find_references (find references). The purpose is unambiguous and immediately understandable.

    Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

    Usage Guidelines4/5

    Does the description explain when to use this tool, when not to, or what alternatives exist?

    The description provides clear context for use by explaining how to convert editor 1-based positions to 0-based values and includes a concrete example. It does not explicitly state when not to use it or contrast with alternatives, but the purpose and critical indexing instructions implicitly guide usage. No exclusion criteria are mentioned, so it scores a 4 rather than a 5.

    Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

GitHub Badge

Glama performs regular codebase and documentation scans to:

  • Confirm that the MCP server is working as expected.
  • Confirm that there are no obvious security issues.
  • Evaluate tool definition quality.

Our badge communicates server capabilities, safety, and installation instructions.

Card Badge

w3-mcp-server-lsp MCP server

Copy to your README.md:

Score Badge

w3-mcp-server-lsp MCP server

Copy to your README.md:

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/famtong8-dev/w3-mcp-server-lsp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server