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MS-Teja

Glyphic

by MS-Teja
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Server Quality Checklist

67%
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  • Latest release: v1.0.0

  • Disambiguation5/5

    The two tools have completely distinct purposes: one returns the JSON schema, the other renders a diagram. There is no overlap or ambiguity.

    Naming Consistency5/5

    Both tool names follow the verb_noun pattern (get_schema, render_diagram), providing clear and consistent naming.

    Tool Count3/5

    With only 2 tools, the server feels minimal but appropriate for a focused rendering service. It is slightly under what is typical, but not unreasonable.

    Completeness4/5

    The pair covers the core workflow: obtain the schema and then render a diagram. Missing validation or diagram management tools are minor gaps given the narrow scope.

  • Average 3.6/5 across 2 of 2 tools scored.

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

    • No community issues in the last 6 months
    • 62 commits in the last 12 weeks
    • No stable releases found
    • No critical vulnerability alerts
    • No high-severity vulnerability alerts
    • No code scanning findings
    • CI is passing

  • 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

  • Behavior2/5

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

    No annotations are present, so the description carries the full burden of behavioral disclosure. It only states it renders, without mentioning side effects, auth requirements, rate limits, or whether it is read-only. For a complex tool like this, more transparency on behavior is needed.

    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 two sentences long with no unnecessary words. It front-loads the purpose and then states the constraint. Every sentence is essential.

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

    Completeness2/5

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

    Given the complexity of the tool (multiple diagram types, many options), the description is too minimal. It does not mention supported diagram types, output formats, or any constraints beyond schema conformance. The schema itself is huge, but the description should provide a high-level overview to help the agent decide quickly.

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

    Parameters4/5

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

    The single parameter 'diagram' is a complex object with extensive documentation in the input schema itself. The tool description adds value by referencing the 'DiagramInput schema', implying the agent must consult it. Since the schema already contains detailed descriptions for sub-properties, the description's semantic contribution is minimal but sufficient.

    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 renders a declarative JSON diagram into a visual representation, with a specific resource (diagram JSON) and action (render). It also mentions the input must conform to a schema, which distinguishes it from the sibling tool 'get_schema' that likely retrieves the schema.

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

    Usage Guidelines2/5

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

    No guidance is provided on when to use this tool versus alternatives. The only sibling is 'get_schema', which serves a different purpose, but the description does not specify when to choose rendering over anything else. Lacks when-to-use or when-not-to information.

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

  • Behavior2/5

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

    No annotations provided, so description carries full burden. Only states return of JSON schema, but doesn't disclose any behavioral traits (e.g., read-only, no side effects, auth requirements).

    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?

    Single sentence, 19 words, front-loaded with main action. Every word provides value; no unnecessary repetition.

    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?

    Given no output schema, description explains return value (JSON schema of DiagramInput) and purpose (supported types/properties). Sufficient for a simple tool, though more detail on structure could help.

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

    Parameters4/5

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

    Zero parameters, baseline score of 4. Description adds context about the schema's purpose, but no parameter details needed.

    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?

    Clearly states verb 'returns', resource 'JSON schema of the DiagramInput payload', and purpose 'help the AI understand supported diagram types and properties'. Distinguishes from sibling 'render_diagram'.

    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?

    Implies use before calling render_diagram, but lacks explicit when-to-use or alternatives. No direct guidance on when not to use.

    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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  • Confirm that there are no obvious security issues.
  • Evaluate tool definition quality.

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