webdev-mcp
Server Quality Checklist
Latest release: v0.1.2
- Disambiguation5/5
listScreens and takeScreenshot have clearly distinct purposes—one lists available screens, the other captures a screenshot. There is no overlap or ambiguity between them.
Naming Consistency5/5Both tools use a consistent camelCase verb_noun pattern (listScreens, takeScreenshot) that is predictable and clear.
Tool Count4/5With only 2 tools, the set is minimal but covers the essential operations for screen capture (list and capture). Could be slightly thin but still reasonable for a focused domain.
Completeness4/5The tool set covers listing screens and capturing a screenshot, which is the core functionality. Missing features like capturing all screens or with options are minor gaps that agents can work around.
Average 3.9/5 across 2 of 2 tools scored.
See the Tool Scores section below for per-tool breakdowns.
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- No high-severity vulnerability alerts
- No code scanning findings
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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 must disclose all behavioral traits. It states the output is base64 encoded and mentions timeout behavior via the parameter, but does not detail side effects, permissions, or error conditions. It is adequate but minimal.
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 sentence with no fluff, clearly conveying the tool's purpose and output format. It is appropriately concise.
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?
For a simple tool with two optional parameters and no output schema, the description is fairly complete. It explains the main action and output format, though it lacks details on error handling or invalid inputs. Overall, adequate for the tool's complexity.
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 schema already documents the parameters thoroughly. The description adds minimal additional meaning beyond what the schema provides. Baseline is 3.
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 the action (take a screenshot), the resource (specific screen), and the output format (base64 encoded string). It distinguishes from the sibling tool listScreens, which lists available screens but does not take screenshots.
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 does not explicitly provide when or when not to use this tool. It implies usage for capturing a screenshot, but lacks guidance on alternatives or exclusions. The reference to listScreens is in the parameter description, not the main description.
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?
No annotations provided, so description carries full burden. It clearly states the tool is for listing screens, implying a read-only operation without side effects. However, it does not mention any potential permissions or limitations, though for a simple list operation this is acceptable.
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?
Single sentence directly conveying the tool's purpose with no extraneous words. Perfectly concise.
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 simplicity (no parameters, no output schema), the description adequately covers the functionality. It could hint at the return value format (e.g., display IDs), but the current text is sufficient for an agent to understand its role.
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?
No parameters exist, and schema coverage is trivially 100%. The baseline for zero parameters is 4, and no additional parameter description is needed.
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?
Description uses specific verb 'List' and resource 'available screens/displays that can be captured', making the tool's purpose clear. It implicitly distinguishes from sibling tool 'takeScreenshot' by focusing on enumeration rather than capture.
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?
No guidance on when to use this tool versus the sibling 'takeScreenshot'. The description only states what the tool does, without providing context for selection or exclusion.
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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