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japan-ai-tools

jp-zengin-name

Check an already formatted half-width transfer name

zengin_name_check
Read-onlyIdempotent

Validate Japanese bank-transfer account names for Zengin compatibility by checking allowed half-width characters, small kana, spacing, and length; returns errors, warnings, and abbreviations.

Instructions

Validate a half-width Zengin name from a CSV or bank file: only allowed characters, no small kana, no full-width characters, spacing, length. Returns ok, length, errors, warnings, abbreviations found.

Input Schema

NameRequiredDescriptionDefault
nameYes
max_lengthNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world behavior. The description adds useful behavioral context by enumerating the validation rules and the return fields (ok, length, errors, warnings, abbreviations), which annotations cannot convey.

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?

A single dense sentence front-loads the purpose and validation rules, then lists the return shape. It is efficient with little waste, though the list of checks is somewhat compressed.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema, and the description partly compensates by naming the return fields. However, for a two-parameter tool with zero schema coverage, it omits the meaning and effect of max_length and does not specify input formatting constraints, leaving gaps an agent would need filled.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must carry parameter semantics. It never mentions the max_length parameter at all, and only vaguely implies length checking for the name parameter, leaving both inputs largely undocumented.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ('Validate') and resource ('half-width Zengin name') and lists the concrete checks performed, so the tool's function is immediately clear. It does not explicitly differentiate itself from the sibling tools zengin_name_format and zengin_name_match, which keeps it below a 5.

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

Usage Guidelines3/5

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

The phrase 'from a CSV or bank file' and the title's 'already formatted' imply this is for checking existing names rather than formatting or matching them. However, the description never explicitly says when to use this versus zengin_name_format or zengin_name_match, so usage is only implied.

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