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Bir veri sayfasının tamamı (Ortak Veri)

veri_getir
Read-onlyIdempotent

Ortak Veri'de bir sayfanın bütün rakamlarını, sık sorulan soruların cevaplarını, kaynak tablolarını ve CSV bağlantısını getirir. slug veri_ara'dan gelir (ör. enflasyon-yillara-gore) ya da bir il adıdır (ör. izmir).

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "slug": "<slug>"
    },
    "name": "veri_getir"
  }
}

Input Schema

NameRequiredDescriptionDefault
slugYesör. "asgari-ucret-yillara-gore" ya da "izmir"

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, closed-world), so the bar is lower. The description adds real value by disclosing the shape of the response contents (figures, FAQ answers, source tables, CSV link), which is important given there is no output schema; it says nothing about payload size or whether fetching a whole page is expensive.

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?

Two sentences, both earning their place: the first defines the return payload, the second defines parameter provenance. The content description is front-loaded and there is no filler wording.

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 single-parameter read tool with full annotation coverage, the definition covers purpose, input derivation and return contents adequately. The remaining gap is behavioral cost — whether pulling the entire page is heavy and whether a narrower sibling like veri_seri should be tried first.

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?

Schema coverage is 100% with a fully documented slug plus examples, so the baseline is 3. The description adds provenance the schema lacks: the slug either originates from veri_ara or is a bare city name, which helps the agent construct a valid value rather than guess one.

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 names a concrete verb ("getirir") and enumerates exactly what a page contains: figures, FAQ answers, source tables and the CSV link. It distinguishes itself from veri_ara by naming it as the slug source, but it does not differentiate from veri_seri, which arguably serves overlapping numeric data, so it stops short of full sibling clarity.

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

Usage Guidelines4/5

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

It tells the agent the two valid ways to obtain a slug (from veri_ara, or directly as a city name) with examples, which is the key precondition for calling it. There is no explicit statement of when not to use it or when veri_seri/doviz_ve_gostergeler would be preferable.

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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