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denizcakiroglu322

evds-mcp-server

Politika Faizi / AOFM (TCMB)

get_policy_rate
Read-onlyIdempotent

Query the daily or monthly weighted average cost of funding (AOFM) from TCMB, serving as the closest indicator to the policy rate.

Instructions

TCMB Ağırlıklı Ortalama Fonlama Maliyeti (AOFM) — politika faizine en yakın günlük gösterge.

Ne zaman kullanılır:

  • "TCMB faizi (fonlama maliyeti) X tarihinde neydi", "faiz son dönemde nasıl seyretti" sorularında.

  • frequency='monthly' aylık ortalamayı verir (uzun dönem trend için).

Parametreler:

  • period: { start, end }

  • frequency: 'daily' (vars.) | 'monthly'

Dönüş: ortak şema — unit '%', basis 'nominal faiz (düzey, %)'. Not: Bu, resmî 1 hafta vadeli repo politika faizinden farklı olabilen AOFM göstergesidir; not alanında belirtilir.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
periodYesInclusive date range to query.
frequencyNo'daily' = günlük seri (vars.), 'monthly' = aylık ortalama.daily

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 indicate read-only, idempotent, non-destructive. The description adds useful context: output unit (%), basis (nominal rate), and a caution that AOFM may differ from official 1-week repo rate, noted in a 'not' field.

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 concise with clear bulleted sections for usage and parameters. Every sentence adds value without redundancy.

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?

Given annotations and output schema, the description adequately covers return format (unit, basis) and a key behavioral note. Some detail on the output schema structure is omitted but compensated by the output schema presence.

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 descriptions. The description adds extra meaning: monthly frequency provides averages for long-term trends, and explains the period parameter as inclusive date range. This goes beyond schema schema 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 specifies the tool retrieves TCMB Weighted Average Cost of Funding (AOFM), the closest daily indicator to the policy rate. It distinguishes from sibling tools which cover different economic indicators (fx, inflation, etc.).

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 explicitly provides usage scenarios (e.g., queries about TCMB rate on a date, recent trend, long-term trend with monthly frequency) and explains parameter intent. It does not explicitly state when not to use, but siblings are distinct domains.

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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