Procurement MCP Server
Server Quality Checklist
Latest release: v1.0.0
- Disambiguation5/5
The two tools are completely distinct: one checks backend health, the other searches purchase orders. There is no overlap or ambiguity in their purposes.
Naming Consistency5/5Both tools follow a consistent verb_noun pattern with snake_case: check_backend_health and search_purchase_orders. The naming convention is uniform and predictable.
Tool Count3/5With only 2 tools, the server feels thin for a procurement domain. The count is borderline—reasonable for a tiny read-only utility, but not enough for a full procurement MCP server.
Completeness2/5The surface only provides search and health check. Missing are essential operations like create, update, delete, or get-by-id for purchase orders. This is a significant gap for a procurement-focused server.
Average 4.1/5 across 2 of 2 tools scored.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 1 commit 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?
無 annotations 提供,描述必須承擔行為揭露責任。描述說明了關鍵字比對範圍(po_number/name)、可選狀態篩選與回傳筆數限制,但未提及回傳格式、錯誤行為或權限需求,屬於最低必要資訊,未達充分透明。
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?
描述僅用兩句話即包含用途、比對欄位、可選篩選、回傳限制與使用範例,重點前置,無冗詞或重複資訊,結構精簡。
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
工具為搜尋型,無輸出 schema,描述已提供搜尋方式、篩選條件與筆數限制等核心資訊,足以讓代理安全呼叫。缺少回傳資料結構細節,但在無輸出 schema 下仍屬可接受的完整度。
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?
Schema 對 3 個參數的覆蓋率達 100%,描述未額外補充參數的格式或邊界,僅以實例說明 limit 與 status 的用法,但未提供超越 schema 的語意,因此維持基線分數。
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?
描述明確指出工具用途為『依關鍵字搜尋採購單』,並具體說明比對欄位(po_number 或 name),與唯一兄弟工具 check_backend_health 有清楚區隔,功能定位無歧義。
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?
描述提供明確使用情境『當使用者想查詢、尋找採購單時使用』,並附具體範例(找已核准螢幕採購單最多 5 筆),足以引導代理正確選用。雖未明確說明何時不使用,但與兄弟工具的健康檢查用途無重疊,指引已足夠。
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 full burden. It discloses the endpoint and the checking behavior, but does not describe the return format, error handling, authentication needs, or whether any side effects occur. This is adequate for a simple health check but not rich.
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 concise, consisting of two sentences that front-load the main purpose and the endpoint, followed by clear usage scenarios. No unnecessary information is included.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no parameters and no output schema, the tool is simple. The description covers the purpose and when to use it, but does not mention what the response or result looks like, which could be useful for a health check. Still, it is mostly complete for the tool's simplicity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, so there is no parameter information needed. The baseline of 4 applies, and the description adds no parameter-specific detail because there are none to document.
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 purpose: checking whether the procurement backend service is operating normally, with the specific implementation detail of calling the /api/health endpoint. This distinguishes it from the sibling tool search_purchase_orders, which is a different operation.
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 explicitly states when to use the tool: when the user wants to confirm the system is online, or before performing other operations to verify connectivity. It does not mention alternatives or exclusions, but the context is clear enough.
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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