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Get required fields

get_required_fields
Read-onlyIdempotent

List required field names for a given pain message type. Use as a quick checklist before building records.

Instructions

List only the required input field names for a pain message type.

Use this for a quick checklist of the mandatory columns before building
records. When you need full type/format constraints (not just which
fields are required), call ``get_input_schema`` instead.

Args:
    message_type: A supported ISO 20022 pain message type.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
message_typeYesA supported ISO 20022 pain message type. Must be exactly one of: 'pain.001.001.03', 'pain.001.001.04', 'pain.001.001.05', 'pain.001.001.06', 'pain.001.001.07', 'pain.001.001.08', 'pain.001.001.09', 'pain.001.001.10', 'pain.001.001.11', 'pain.001.001.12', 'pain.001.001.13', 'pain.008.001.02', 'pain.001', 'pain.008' (see list_message_types). The bare family names 'pain.001' and 'pain.008' are accepted as aliases for 'pain.001.001.09' and 'pain.008.001.02'.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already indicate readOnlyHint=true, idempotentHint=true, destructiveHint=false. Description adds context that it returns only field names, not types or constraints. No contradictions.

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?

Description is concise (2-3 sentences plus an 'Args' block slightly redundant with schema). Efficient and front-loaded.

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 1-parameter tool with comprehensive schema and annotations, the description covers purpose, usage guidance, and return value, making it fully self-contained.

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 detailed enumeration and alias explanation in the schema description. The main description adds no additional semantic value beyond restating 'a supported ISO 20022 pain message type.' Baseline 3 is appropriate.

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 lists only required input field names for a pain message type, distinguishing it from get_input_schema which provides full type/format constraints.

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?

Explicitly states use case ('quick checklist') and when not to use ('when you need full type/format constraints'), directing to alternative get_input_schema.

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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