Skip to main content
Glama
ers123

somyung-saju-mcp

by ers123

Server Quality Checklist

67%
Profile completionA complete profile improves this server's visibility in search results.
  • Latest release: v1.0.1

  • Disambiguation5/5

    Each tool has a clear, distinct purpose: one analyzes a single child, one compares two siblings, and one explains a specific five-element concept. There is no overlap in functionality that would cause an agent to select the wrong tool.

    Naming Consistency5/5

    All tool names follow the same verb_noun pattern in snake_case (analyze_child_temperament, compare_siblings, explain_five_elements). Verb choice and object structure are uniform, making the set predictable and easy to navigate.

    Tool Count4/5

    Three tools is at the lower bound of the well-scoped range. The narrow domain of Korean Saju child temperament analysis is served adequately, but the set feels slightly thin compared to typical MCP servers, though not incomplete.

    Completeness4/5

    The tools cover the main workflows: analyzing a child, comparing siblings, and explaining element meanings. Missing a tool for retrieving raw Saju chart details or parent-child compatibility, but these are not explicitly required by the server's stated scope.

  • Average 3.7/5 across 3 of 3 tools scored.

    See the Tool Scores section below for per-tool breakdowns.

    • No community issues in the last 6 months
    • 4 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.

  • 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

  • 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 explaining behavior. It clearly states the tool calculates and returns a profile, implying a non-destructive read-style operation, but it does not disclose potential caveats such as reliance on assumptions, timezone handling, or whether any external computation or persistence occurs.

    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 a single sentence that front-loads the core action and then lists key output categories. It stays within a reasonable length while conveying the tool's purpose and expected results without redundancy.

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

    Completeness4/5

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

    The description is fairly complete for a tool with no output schema, listing the main return components. It could be stronger by explicitly guiding an agent toward when this tool is preferred over its siblings, but the core functionality is adequately covered.

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

    Parameters3/5

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

    Schema description coverage is 100%, so the schema already documents all parameters including defaults. The description adds no parameter-level meaning beyond the schema, justifying the baseline score of 3.

    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 states a clear, specific verb ('Calculate') and resource ('a child's Four Pillars of Destiny'), and enumerates the output components (dominant element, personality traits, learning style, parenting tips). This distinguishes it from siblings like compare_siblings and explain_five_elements.

    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 when to use it: when a child's Saju-based temperament profile is needed. However, it does not explicitly state when not to use it or mention alternatives such as compare_siblings for sibling comparisons.

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

  • Behavior3/5

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

    No annotations are provided, so the description carries the behavioral transparency burden. It communicates the intended outcome (understanding differences, compatibilities, parenting) but does not disclose how the comparison is performed, whether birthTime is required for accuracy, or what the output format looks like. For a read-only analysis tool, this is a moderate gap.

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

    Conciseness5/5

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

    The description is a single, well-structured sentence that front-loads the core verb 'Compare' and the resource 'Saju temperament profiles.' Every clause adds meaningful context, and there is no redundant or filler content.

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

    Completeness3/5

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

    The input schema thoroughly documents the parameters, but there is no output schema and no mention of what the tool returns. The description does not specify whether the output is a textual report, a structured profile, or a list of recommendations. This is a notable gap for a tool with no annotations and two nested objects.

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

    Parameters3/5

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

    The schema has 100% description coverage over all parameters, so a baseline score of 3 applies. The description adds no parameter-specific meaning beyond indicating that the two objects represent siblings. It does not clarify optional vs. required behavior for birthTime or any edge cases.

    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 clearly states the tool's function: comparing Saju temperament profiles of two siblings. The verb 'Compare' is specific, and the resource 'two siblings' makes it distinguishable from the sibling tools (analyze_child_temperament for individual profiles, explain_five_elements for element theory). The purpose is further clarified by mentioning differences, compatibilities, and parenting approaches.

    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 when the user wants to compare two siblings, but it does not explicitly state when not to use it or recommend alternatives like analyze_child_temperament for single children. An agent can infer the context from the phrase 'two siblings,' but there is no direct routing guidance.

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

  • Behavior3/5

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

    With no annotations, the description carries the full burden. It covers what the explanation addresses (personality, learning, development) and the cultural framework (Korean Saju), which is meaningful. However, it does not disclose output format, caveats, or whether the explanation is individualized, so it only partially satisfies transparency.

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

    Conciseness5/5

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

    A single, efficient sentence that front-loads the verb and resource and wastes no words. Every phrase ('specific Five Element', 'child's personality, learning, and development', 'Korean Saju astrology') contributes essential meaning.

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

    Completeness4/5

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

    For a one-parameter, no-output-schema tool this is nearly complete: the agent knows what the tool does, what the parameter means, and the domain. The only notable gaps are the lack of explicit sibling differentiation and no indication of response structure, but the simple nature of an explanation tool makes these minor.

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

    Parameters3/5

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

    Schema description coverage is 100% and the enum fully documents valid values. The description adds context that the element is interpreted in Korean Saju astrology for a child's development, but does not need to add more since the parameter is already well-described.

    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 uses the specific verb 'Explain' with a clear resource ('a specific Five Element (오행)') and delineates the scope ('for a child's personality, learning, and development in Korean Saju astrology'). This is distinct from sibling tools analyze_child_temperament and compare_siblings, which focus on analysis and comparison rather than explanation of an element.

    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 provides context that this tool is for explaining an element in Korean Saju astrology, but it never states when to choose it over analyze_child_temperament or compare_siblings, nor does it give any exclusions or alternative conditions. Usage is only implied by the phrase 'for a child's personality, learning, and development.'

    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

somyung-saju-mcp MCP server — quality and maintenance score on Glama

Copy to your README.md:

Score Badge

somyung-saju-mcp MCP server — quality and maintenance score on Glama

Copy to your README.md:

shields.io Endpoint

somyung-saju-mcp MCP server — quality and maintenance score on Glama

For READMEs with an existing badge row. Append &style=flat-square (or any other shields.io style) to match the rest, and &metric=tools, &metric=maintenance or &metric=claim to badge a different dimension.

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/ers123/somyung-saju-mcp'

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