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pcnuoyan
by pcnuoyan

Server Quality Checklist

67%
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  • Latest release: v1.0.0

  • Disambiguation5/5

    The two tools have completely distinct purposes: one checks connectivity/authentication, the other retrieves work item details. There is no overlap or ambiguity between them.

    Naming Consistency5/5

    Both tools follow a consistent 'pingcode_<verb>_<noun>' pattern (check_connection, get_work_item_detail), using snake_case and clear verbs. The naming is uniform and predictable.

    Tool Count3/5

    With only 2 tools, the server feels thin for a PingCode integration. This is borderline—there is no bloat, but the scope is very narrow, which earns a 3 per the calibration.

    Completeness1/5

    The tool surface is severely incomplete for a PingCode MCP server. It only provides connectivity checking and reading a work item, missing any create, update, list, search, or delete operations. Agents would hit immediate dead ends for any workflow beyond a simple read.

  • Average 4/5 across 2 of 2 tools scored.

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

    • No community issues in the last 6 months
    • 11 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

  • Behavior3/5

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

    Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds useful context on accepted input formats but does not disclose return behavior, pagination, or error cases. No contradiction exists between description and annotations; the description adds modest value beyond the annotations.

    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 sentence with zero filler that front-loads the core purpose ('读取 PingCode 工作项完整内容') before the input-format detail. Every element earns its place; nothing is redundant.

    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 read-only tool whose annotations already cover the safety profile and which has no output schema, the description adequately conveys the purpose and input formats. It does leave the include_* flags' effects implicit and lacks explicit sibling differentiation, but these are minor gaps against the simple 4-parameter surface.

    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 0%, so the description bears the compensation burden. It documents the required `input` parameter well (accepts links, internal IDs, or numbers such as SAAS-12144). However, it does not address include_comments, include_activities, or include_attachments, though those boolean names are reasonably self-explanatory. Partial compensation for the coverage gap.

    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 specific verb+resource ('读取 PingCode 工作项完整内容' - read complete PingCode work item content) and explicitly enumerates the accepted input formats (link, internal ID, or number like SAAS-12144). This clearly distinguishes it from the lone sibling pingcode_check_connection, which serves connectivity checking rather than content retrieval.

    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 its usage context - retrieving full work item details — but never explicitly contrasts it with pingcode_check_connection or states when not to use it. No alternatives or exclusions are named. The sibling is functionally distinct enough that confusion is unlikely, but the guidance is implied rather than stated.

    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?

    With readOnlyHint=true, idempotentHint=true, and destructiveHint=false, annotations already cover the safety profile. The description adds beyond that: it specifies what is verified (API address and token) and clarifies the return value is a 'non-sensitive summary,' which is useful behavioral context. Consistent with annotations, no contradiction.

    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, tightly written sentence that front-loads the core purpose (verification) and closes with the return value. Every clause earns its place with zero 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?

    For a zero-parameter, fully annotated read-only check tool, the description is thorough: it states what is verified, the safety traits are in annotations, and it hints at the response content. The only minor gap is that without an output schema, the exact success/failure return format is not specified, but this is marginal for a connection check.

    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?

    With 0 parameters and 100% schema coverage (an empty object), the base rate is 4 per the rubric. The description needs to explain no parameter behavior because there are none, and it does not mislead on this front.

    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 a specific verb (验证/verify) with a clear scope: checks API address accessibility, token validity, and returns a non-sensitive identity summary. This unambiguously distinguishes it from the sibling tool get_work_item_detail, which retrieves work items rather than verifying connectivity.

    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 purpose is self-evident from the name and description, and the sibling is different enough that confusion is unlikely. However, there is no explicit when-to-use guidance, no alternate tool mention, and no statement of when this check should be run (e.g., before other operations). Usage is implied rather than stated.

    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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