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E-Nabız MCP

E-Nabız MCP

by UmutKDev
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
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enabiz_list_pathology

Read-only

List pathology records from E-Nabız filtered by year range and optional hospital/clinic query. Returns date, reference number, hospital, clinic, physician, and PDF sys_no.

Instructions

E-Nabız patoloji kayıtlarını yıl aralığına göre listeler.

  • start_year / end_year: yıl aralığı. Verilmezse son 11 takvim yılı (bu yıl - 10 … bu yıl; patoloji seyrek, ömür-boyu kayıtlardır → geniş varsayılan).

  • query: verilirse hastane/klinik alanında büyük/küçük harf duyarsız filtre.

Her kayıt tarih, referans no, hastane, klinik, hekim ve PDF için sys_no ile döner. Kimlikli oturum gerektirir; yoksa error: "auth_required".

  • limit: en fazla kaç kayıt döner (varsayılan 50; 0 = sınırsız). truncated: true ise liste kırpılmıştır.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "enabiz_list_pathology"
  }
}

Input Schema

NameRequiredDescriptionDefault
limitNo
queryNo
end_yearNo
start_yearNo

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.6/5.0
Behavior5/5

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

Description provides behavioral details beyond annotations: requires auth, returns auth_required error, returns truncated flag, includes sys_no for PDF. Does not contradict annotations (readOnlyHint, openWorldHint).

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?

Concise and well-structured: main purpose first, then bullet-pointed parameter explanations. No unnecessary text.

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

Completeness5/5

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

Description covers all relevant aspects: parameter defaults, filter behavior, output fields, error case, and truncation indicator. With output schema present, return value explanation is sufficient.

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

Parameters5/5

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

With 0% schema coverage, description fully documents each parameter: start_year/end_year default range, query filter behavior, limit default and unlimited option. Adds meaning beyond type.

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?

Purpose is clearly stated: list pathology records by year range. The verb 'list' and resource 'pathology' are specific, and the description distinguishes from siblings like lab tests or medications.

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?

Description explains parameters and defaults but does not explicitly state when to use this tool versus alternatives among many sibling list tools. The name implies the domain, but no direct comparison or exclusion is provided.

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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