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CodeNinja1126

KETI FLOW MCP

Server Quality Checklist

50%
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  • Latest release: v0.1.0

  • Disambiguation5/5

    The two tools address completely different physical devices (blower vs. pump), so there is no ambiguity in their purposes. Each has a clear and distinct function.

    Naming Consistency5/5

    Both tools follow the same pattern of 'get_optimal_<device>_<control/angle>', using consistent verb_noun structure and snake_case. The minor difference in the last word (angle vs control) does not break consistency.

    Tool Count3/5

    With only 2 tools, the server is very narrowly scoped. While this may be acceptable for a focused use case, it feels minimal for a general flow control system, suggesting the surface is thin.

    Completeness2/5

    The tools cover only optimization for two specific devices. There are no tools for monitoring current state, setting parameters, or managing other equipment, leaving significant operational gaps.

  • Average 2.8/5 across 2 of 2 tools scored.

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

    • No community issues in the last 6 months
    • 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

  • Behavior2/5

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

    No annotations provided; description does not disclose side effects (e.g., whether pump settings are changed), permissions, or safety considerations. Behavioral traits are inadequately conveyed.

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

    Conciseness3/5

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

    Description is relatively concise with two clauses, but could be more structured and front-loaded. Some repetition ('pump', 'operating point'). Adequate but not optimal.

    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 output schema exists, description doesn't mention return values. Missing operational context like when to call, prerequisites, or expected outcomes. Incomplete for a tool with a sibling.

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

    Parameters2/5

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

    Schema has 0% description coverage. Description adds that user inputs flow rate but lacks units, range, or format details. Insufficient compensation for schema gap.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose4/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    Description clearly states the tool's purpose: optimally controlling pump VIGV and deriving optimal operating point based on user input flow. Distinguishes from sibling tool for blower angle implicitly.

    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 explicit guidance on when to use vs alternatives. Only mentions 'if user wants to know operating point'. No comparison with sibling tool or conditions for avoidance.

    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 are provided, so the description must disclose behavioral traits. It mentions 'controlling' and 'deriving optimal operating point', but it is unclear whether this tool actually actuates the blower or just computes. It lacks information on side effects, permissions, or safe usage.

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

    Conciseness3/5

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

    The two-sentence description is reasonably concise and front-loaded with the purpose. However, it contains some redundancy and could be more streamlined.

    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 tool has one parameter and an output schema exists but is not described in the text, the description does not explain the return value or the nature of the 'optimal operating point'. It also fails to clarify whether this tool is purely computational or performs a control action.

    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 description adds meaning to the sole parameter 'required_flow' by stating it is the flow rate of the blower. However, it does not specify units or acceptable ranges. With 0% schema coverage, the description provides essential context but is not fully comprehensive.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose4/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    The description clearly states the tool's purpose: it controls the blower blade angle optimally based on required flow. The sibling tool 'get_optimal_pump_control' is for pumps, providing implicit differentiation, but the description does not explicitly distinguish them.

    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 a usage context: call when user inputs flow rate and wants the optimal operating point. However, it does not specify when not to use this tool or mention alternatives, such as the pump control tool.

    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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