license-compliance-mcp
Server Quality Checklist
Latest release: v1.0.3
- Disambiguation5/5
The two tools are completely distinct: one scans npm dependencies for compliance, the other explains SPDX licenses. There is no overlap or ambiguity between them.
Naming Consistency4/5Both tools follow a verb_noun pattern with hyphenation, but 'check-licenses' uses plural while 'explain-license' uses singular. This minor inconsistency is slightly noticeable but does not hinder readability.
Tool Count3/5With only 2 tools, the server feels thin for its apparent scope. The tools are focused and useful, but the count is on the borderline of what is considered reasonable for a utility server.
Completeness3/5The server covers scanning and explaining, but lacks tools for managing the compliance policy (e.g., setting or updating policy). This is a notable operational gap for a license compliance workflow.
Average 4.1/5 across 2 of 2 tools scored.
See the Tool Scores section below for per-tool breakdowns.
- 0 of 1 community issues answered or closed in the last 6 months
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- No critical vulnerability alerts
- No high-severity vulnerability alerts
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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
- 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 states that the tool scans and checks, implying a read-only operation, and describes the output as a markdown report. However, it does not mention potential side effects (e.g., network access, installation) or failure modes when node_modules is missing, leaving some behavioral aspects unclear.
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, front-loaded with the main purpose, and wastes no words. It efficiently covers what the tool does, what it checks, and what it returns.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's moderate complexity, the description covers the key aspects: scanning dependencies, policy options, and output format. It lacks explicit error handling or prerequisites (though the schema mentions path must contain package.json and node_modules), but overall it is sufficiently complete for an agent to understand the tool's function and invocation.
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?
Schema description coverage is 100%, giving the baseline of 3. The description adds value by elaborating on the policy parameter with examples of presets and custom SPDX expressions, and by clarifying that the path should point to the project root with installed packages. This goes beyond the schema's own descriptions.
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 a specific action ('Scan a project's npm dependencies') and a clear purpose ('license compliance issues'). It distinguishes itself from the sibling tool 'explain-license' by focusing on scanning the entire project rather than explaining a single license.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for checking a project's dependencies and mentions policy options, but does not explicitly state when to use this tool versus the sibling 'explain-license'. No exclusions or alternative guidance is provided, though the context is clear for a compliance scan.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavior disclosure. It explicitly lists the dimensions covered (permissions, conditions, limitations, compatibility, gotchas) and the supported scope (15 major licenses plus deprecated forms). It does not detail handling of unsupported licenses or the exact return format, but for a simple informational tool this is reasonably transparent.
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 concise and front-loaded: the first sentence states the core action, the second details what the explanation covers, and the third scopes supported inputs. No filler or redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is simple with one parameter and no output schema. The description covers the purpose, content coverage, and supported license scope. It could mention behavior for unsupported licenses or expected output format, but these are minor gaps for this complexity level.
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?
The schema already provides 100% coverage for the single 'license' parameter, including an example. The description says 'specific SPDX license' but adds no new semantic detail beyond what the schema's description and example already convey. Baseline of 3 is appropriate given 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 uses a specific verb ('Explain') and resource ('specific SPDX license') and clearly defines the tool's scope ('permissions, conditions, limitations, compatibility...'). It also differentiates from the sibling tool 'check-licenses' by focusing on plain-language explanation rather than checking or validating licenses.
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 makes the use case clear: use when you need a plain-language explanation of a license's meaning and implications. It does not explicitly mention when not to use it or contrast with 'check-licenses', but the purpose is specific enough to guide selection.
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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