io.github.OnticX/open-mcp-registry
OfficialServer Quality Checklist
Latest release: v0.1.0
- Disambiguation5/5
Only one tool exists, so there is no possibility of ambiguity or overlap. The purpose is clear and singular.
Naming Consistency5/5With a single tool named 'open_mcp_registry', the naming follows a consistent snake_case style. There is no mixed convention to cause inconsistency.
Tool Count3/5The server has only one tool, which feels thin for a registry service. While a search tool is core, one tool borders on minimalism and could benefit from additional operations like listing or metadata retrieval.
Completeness4/5The tool provides search functionality over the MCP registry, which covers the primary need. Minor gaps exist, such as no direct retrieval by name or browsing capabilities, but the core search use case is addressed.
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
- 7 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
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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?
No annotations are provided, so the description carries the full burden of behavioral disclosure. The verb 'Search' suggests a read-only operation, but the description does not explicitly state whether this is safe or read-only, nor does it mention return format, pagination, or limitations. It is not misleading but adds minimal behavioral context beyond the obvious.
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, concise sentence that immediately front-loads the core purpose. It avoids redundancy and any unnecessary details, making it highly efficient.
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?
For a simple search tool with optional parameters and no output schema, the description is minimally adequate. It states what the tool does but does not describe the return value shape or any caveats. Given no annotations and no output schema, a bit more detail about results would be helpful, but it is not severely incomplete.
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 input schema provides 100% coverage with detailed descriptions for all three parameters (limit, query, language). The tool description does not add any parameter-specific information beyond what the schema already documents, so the baseline of 3 is appropriate.
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 tool's function: 'Search the MCP Tool Registry for available servers and tools.' It uses a specific verb ('Search') and a well-defined resource ('MCP Tool Registry'), leaving no ambiguity about its purpose. Since there are no sibling tools, differentiation is not required.
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 implies the tool is for locating MCP servers and tools, which is a clear context for use. With no sibling tools or alternative approaches mentioned, there is no need for exclusions. However, it does not explicitly state when to use this tool versus other search mechanisms, but the purpose is straightforward.
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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