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Get required fields

get_required_fields
Read-onlyIdempotent

Identify mandatory fields for any pacs message type. Use as a quick checklist to ensure all required columns are included before building payment records.

Instructions

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

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

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

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
message_typeYesA supported ISO 20022 pacs message type, e.g. 'pacs.008.001.08' FI-to-FI Customer Credit Transfer. Must be exactly one of: 'pacs.002.001.12', 'pacs.003.001.09', 'pacs.004.001.11', 'pacs.007.001.11', 'pacs.008.001.01', 'pacs.008.001.02', 'pacs.008.001.03', 'pacs.008.001.04', 'pacs.008.001.05', 'pacs.008.001.06', 'pacs.008.001.07', 'pacs.008.001.08', 'pacs.008.001.09', 'pacs.008.001.10', 'pacs.008.001.11', 'pacs.008.001.12', 'pacs.008.001.13', 'pacs.009.001.10', 'pacs.010.001.05', 'pacs.028.001.05' (see list_message_types).

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, idempotentHint, and destructiveHint. The description adds context that this tool is a safe, read-only operation that returns field names. No contradictory information.

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?

The description is concise: one line for purpose, clear usage guidance, and parameter explanation. It is front-loaded and every sentence adds value.

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 tool with one parameter and an output schema (indicated), the description adequately covers purpose, usage, and parameter. No gaps.

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% with an enum and description. The description adds value by explaining the message_type parameter's purpose, providing an example format, and referencing list_message_types for available types.

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 states 'List only the required input field names for a pacs message type', which clearly identifies the verb (list) and resource (required field names). It distinguishes from the sibling tool get_input_schema by specifying that this tool only provides required fields, not 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 provides when to use: 'Use this for a quick checklist of the mandatory columns before building payment records.' Also tells when not to use and directs to an alternative: 'For full type/format constraints... call get_input_schema instead.'

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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