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denizcakiroglu322

evds-mcp-server

Büyüme / GSYİH (TÜİK)

get_growth
Read-onlyIdempotent

Retrieve Turkey's quarterly GDP growth (year-over-year % change) or chained volume index level for a specified date range.

Instructions

Türkiye ekonomik büyümesi (GSYİH, çeyreklik).

Ne zaman kullanılır:

  • "Türkiye 2023'te ne kadar büyüdü", "çeyreklik büyüme oranı" → basis='yoy' (yıllık % değişim).

  • Endeks düzeyi gerekirse → basis='level' (zincirlenmiş hacim endeksi).

Parametreler:

  • period: { start, end }

  • basis: 'yoy' (vars.) | 'level'

Dönüş: ortak şema. basis='yoy' → unit '%', basis 'yıllık % değişim'. basis='level' → unit 'bin TL' (zincirlenmiş hacim, düzey). Seri: TP.GSYIH26.HY.ZH (Harcama Yöntemiyle, Zincirlenmiş Hacim, Toplam).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
basisNo'yoy' = yıllık % büyüme (vars.), 'level' = zincirlenmiş hacim endeksi düzeyi.yoy
periodYesInclusive date range to query.

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.
Behavior5/5

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

Annotations already mark as readOnly, idempotent, non-destructive. Description adds context on return format (unit and metric depending on basis) and the specific series code, going beyond annotations without 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?

Well-structured with clear headings and bullet points. Every sentence adds value; no redundant information. Front-loaded with purpose and usage, then parameter details, then return format.

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 output schema exists (not shown but present), description still provides necessary context: query types, parameter choices, return units, and series identifier. Complete for a tool with 2 parameters and sibling differentiation.

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% so baseline is 3. Description adds practical guidance on when to use each basis value and explains the meaning of period and the return unit, improving parameter understanding beyond schema descriptions alone.

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?

Description clearly states 'Türkiye ekonomik büyümesi (GSYİH, çeyreklik)' indicating it retrieves quarterly GDP growth for Turkey. Distinguishes from siblings (e.g., get_inflation, get_fx) which handle different indicators.

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

Usage Guidelines5/5

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

Explicit section 'Ne zaman kullanılır' with examples mapping queries to parameter values (basis='yoy' for annual growth, basis='level' for index level). Provides clear when-to-use guidance with no ambiguity.

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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