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melontron

ameria-bank

by melontron

search_transactions

Read-onlyIdempotent

Search Ameria Bank transactions by keyword within a date range to find spending on merchants, transfers, or beneficiaries. Case-insensitive, page-limited; iterate or increase page size for all matches.

Instructions

Search Ameria Bank transactions by keyword within a date range. Filters against merchant names, transfer descriptions, and beneficiary names (case-insensitive). IMPORTANT: searches within a single page only — to find all matches, iterate through pages or use a larger page size. Useful for questions like 'how much did I spend on YANDEX this month?'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number, starts at 1 (default: 1)
sizeNoNumber of items per page, max 100 (default: 50)
queryYesSearch keyword to match against transaction details and beneficiary name (case-insensitive)
toDateNoEnd date in YYYY-MM-DD format (defaults to today)
fromDateNoStart date in YYYY-MM-DD format (defaults to 30 days ago)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A4.6/5.0
Behavior5/5

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

Annotations already declare read-only, idempotent, non-destructive, open-world behavior, so the bar is lower — yet the description adds a genuinely non-obvious constraint: the search runs against a single page only. That caveat plus the case-insensitive matching rule materially change how an agent must call the tool and are not derivable from the annotations or schema.

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?

Three tight sentences with no filler: purpose first, then the critical single-page caveat, then a concrete usage example. The most important constraint (single-page scope) is front-loaded rather than buried.

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?

With no output schema and a mutation-free read tool, the description covers purpose, matching semantics, date scoping, and pagination behavior — everything needed to invoke it correctly. It does not describe the shape of returned transaction records, but for a search over an annotated read-only endpoint that is a minor gap.

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 the baseline is 3. The description earns an extra point by expanding what 'query' actually matches — merchant names, transfer descriptions, beneficiary names — beyond the schema's terser 'transaction details and beneficiary name', and by tying the date parameters to the keyword search.

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?

States a specific verb and resource ('Search Ameria Bank transactions'), names the searchable fields (merchant names, transfer descriptions, beneficiary names), and scopes it to a date range. The keyword-search framing cleanly separates it from the sibling get_transactions, which implies unfiltered retrieval.

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?

Provides an explicit usage example ('how much did I spend on YANDEX this month?') and operational guidance to iterate pages or raise page size when full coverage is needed. It stops short of naming get_transactions as the alternative for unfiltered listing, so routing between siblings is left partly to inference.

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