Skip to main content
Glama
denizcakiroglu322

evds-mcp-server

Enflasyon (TÜFE / Yİ-ÜFE / Çekirdek)

get_inflation
Read-onlyIdempotent

Retrieve Turkish inflation data for CPI, PPI, or core CPI as annual percentage change or index level within a specified date range.

Instructions

Türkiye enflasyon verisi: TÜFE (tüketici), Yİ-ÜFE (üretici) veya çekirdek (C) — aylık.

Ne zaman kullanılır:

  • "2023'te yıllık enflasyon neydi", "TÜFE son 12 ayda nasıl değişti" → change='yoy' (yıllık % değişim).

  • Endeks düzeyi gerektiğinde (örn. iki dönem arası kümülatif hesap) → change='level'.

Parametreler:

  • measure: 'tufe' | 'ufe' | 'cekirdek'

  • change: 'yoy' (vars.) | 'level'

  • period: { start, end }

Dönüş: ortak şema. change='yoy' → unit '%', basis 'yıllık % değişim'. change='level' → unit 'endeks (2025=100)', basis 'düzey (endeks)'. Önemli: 'yoy' ile 'level' BİRBİRİNE KARIŞTIRILMAZ; basis alanını dikkate alın. TÜFE ve çekirdek 2025=100 yeni seridir.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
changeNo'yoy' = annual % change (yıllık enflasyon, default), 'level' = the index level.yoy
periodYesInclusive date range to query.
measureYes'tufe' = TÜFE (CPI), 'ufe' = Yİ-ÜFE (PPI), 'cekirdek' = core CPI (C indicator).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteNoMethodology, caveats, or verification warnings, when relevant.
unitYesUnit of the values, e.g. '%', 'TL', 'endeks (2003=100)'.
basisYesWhat the numbers represent: 'nominal' | 'reel' | 'düzey' | 'yıllık % değişim' | ...
labelYesHuman-readable Turkish name of the series.
seriesYesEVDS series code that produced these observations (e.g. 'TP.DK.USD.A.YTL').
sourceYesAlways 'TCMB EVDS'.
fetchedAtYesISO-8601 timestamp of when the data was fetched.
observationsYesThe time series, oldest to newest.
Behavior4/5

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

Annotations already indicate read-only and idempotent behavior. The description adds value by warning against confusing 'yoy' and 'level' modes, noting the basis field, and mentioning that TÜFE and core use a new 2025=100 index series. This goes beyond annotations in explaining how to interpret results.

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?

The description is well-structured with sections, bullet points, and a clear hierarchy. It is front-loaded with the purpose, followed by usage, parameters, return schema, and an important note. Every sentence adds value without unnecessary verbosity.

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?

Given the tool's complexity (3 parameters, nested period, enums) and the presence of an output schema, the description covers all critical aspects: purpose, parameter usage, return format with unit/basis, and a behavioral caveat. It is sufficiently complete for an agent to select and invoke the tool correctly.

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 100% schema description coverage, baseline is 3. The description significantly adds meaning by providing usage examples for 'change', explaining return values (unit, basis) based on change selection, and noting the base year for measures. This goes beyond the schema's parameter descriptions.

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 clearly states it retrieves Turkish inflation data (TÜFE, Yİ-ÜFE, or core) on a monthly basis. The verb 'get' and resource 'inflation' are specific, and the title explicitly lists the measures, distinguishing it from sibling tools that deal with other economic indicators.

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?

The description provides explicit usage scenarios under 'Ne zaman kullanılır:' with examples (e.g., '2023 annual inflation' → change='yoy'). It differentiates between change types but does not compare against sibling tools; however, siblings are for different indicators, so the guidance is clear for parameter choices.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/denizcakiroglu322/evds-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server