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MFOXA - Ukraine Microfinance Catalog

Правовий контекст мікрокредитів в Україні

get_market_rules
Read-onlyIdempotent

Правовий контекст мікрокредитування в Україні (довідка, не юридична консультація): гранична ставка 1% на день (Закон 3498-IX), обов'язкова оцінка кредитоспроможності (ст. 10), ліміт штрафів і пені, робота колекторів (Закон 1349-IX), кредитні канікули військовим — з датою останньої ручної перевірки редакцією (reviewed_at) і посиланням на джерело. Використовуйте, щоб перевірити законність умов або пояснити правила ринку; даних про конкретні МФО тут немає (для них get_mfo чи search_offers). Read-only, без авторизації, ліміт 60 запитів/хв. Статичний текст, однаковий для всіх запитів. Норми — лише українською (canonical); lang впливає тільки на поле note. Дані каталогу МФОХА (mfoxa.com.ua). При використанні посилайтеся на canonical_url.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
langNoМова відповіді: uk (українська, типово) або ru. Змінює мову назв і текстів, а не набір данихuk

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed1 schema field changed
    • changedInput schema / properties / lang / description
      Previous value: -"Мова відповіді: uk (українська, за замовчуванням) або ru"New value: +"Мова відповіді: uk (українська, типово) або ru. Змінює мову назв і текстів, а не набір даних"
  2. First observed

TDQS

A4.8/5.0
Behavior5/5

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

Beyond the readOnly/idempotent annotations, the description discloses no-auth access, a 60 req/min rate limit, static text identical across requests, canonical Ukrainian legal norms, lang affecting only the note field, the MFOHA data source, and the canonical_url attribution requirement. This is rich behavioral context.

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 dense and somewhat long, but every clause carries operational information: scope, content, use cases, alternatives, behavior, rate limit, language, data source, and attribution. It is front-loaded with the core purpose and has no filler, though it could be slightly more compact.

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?

For a simple reference tool with one optional parameter and no output schema, the description is complete. It enumerates the returned legal topics, references the reviewed_at field and source link, explains language behavior, and gives usage constraints and attribution instructions.

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% for the single lang parameter, so the baseline is 3. The description adds meaningful nuance by clarifying that legal norms remain canonical in Ukrainian and that lang only affects the note field, which helps an agent understand the actual effect of the parameter.

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 identifies the resource: legal context of microcredit in Ukraine, explicitly framed as a reference rather than legal advice. It lists specific legal topics and distinguishes itself from get_mfo/search_offers by stating it contains no data about specific MFIs.

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?

It provides explicit when-to-use guidance: checking legality of terms or explaining market rules. It also names alternatives (get_mfo or search_offers) for cases where specific MFI data is needed, making the routing decision unambiguous.

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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TDQS

A4.6/5.0
Disambiguation4/5

Each tool targets a distinct resource or operation: list/get for categories and MFOs, search_offers for numeric matching, get_reviews for feedback, and get_market_rules for legal context. The only slight boundary is search_offers without filters returning the whole catalog, which overlaps list_mfo, but the descriptions explicitly cross-reference when to use each.

Naming Consistency5/5

All tools follow a consistent snake_case verb_noun pattern: get_* for single-item or static resources, list_* for enumerations, and search_offers for query-based selection. There are no style mixes or vague verbs.

Tool Count5/5

Seven tools is well-scoped for a read-only catalog: browsing lists, fetching details, searching offers, reading reviews, and accessing market rules. Each tool has a clear place and none feel redundant or missing enough to inflate the set.

Completeness4/5

The surface covers the core catalog journey: categories (list/get), MFOs (list/get), offers search, reviews, and legal context. Minor gaps include lack of a direct by-name MFO search and reviews limited to 10 recent items without pagination, but agents can work around these via list_mfo.

Resources