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saidsurucu

Yargı MCP

by saidsurucu

search_gib_ozelge

Read-onlyIdempotent

Find Turkish Revenue Administration tax rulings (özelge) by keywords, law number, date range, or ruling number. Access over 18,000 VAT, income tax, corporate tax, and stamp duty interpretations.

Instructions

Search Turkish GİB özelge records (Revenue Administration tax rulings) - 18k+ rulings on VAT, income tax, corporate tax, stamp duty interpretations. kanunNo filters the related law number; returned documents are özelge/tax ruling records.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keywordsNoTurkish keywords searched in title, kanunNo and description (e.g., 'KDV oranı', 'kurumlar vergisi istisna')
ozelgeNoNoExact özelge reference number (e.g., 'E-40247694-130-15524')
kanunNoNoRelated law number filter for özelge records, e.g. '3065' for KDV, '193' for Gelir Vergisi
ozelgeStartDateNoStart date YYYY-MM-DD (e.g., '2024-01-01') or full ISO 8601
ozelgeEndDateNoEnd date YYYY-MM-DD (e.g., '2024-12-31') or full ISO 8601
pageNoPage number (1-indexed)
pageSizeNoResults per page (1-50)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

Annotations already declare the tool as read-only, idempotent, and open-world. The description adds context about the number of records and that kanunNo filters by law number, but no additional behavioral traits beyond what annotations provide. No contradiction.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is one sentence with clear information about purpose and filtering. Could be slightly more concise, but it is well-structured and easy to read.

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 the tool has 7 parameters, an output schema, and good annotations, the description provides sufficient context about scope and filtering. It does not explain return format, but that is covered by the output schema.

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

Parameters3/5

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

Schema coverage is 100% with all parameters described. The description adds a brief note on kanunNo, but mostly restates schema information. Baseline 3 is appropriate as the description adds marginal value over the schema.

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 the tool searches Turkish GİB özelge records, specifies the volume (18k+ rulings), and lists covered tax types (VAT, income tax, etc.). It distinguishes itself from sibling tools that search other Turkish legal databases.

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 does not explicitly state when to use this tool versus alternatives, but the domain-specific language (Turkish tax rulings) makes it clear that this is for GİB özelge searches, while siblings target other domains. Implicit differentiation is sufficient.

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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