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Get input JSON Schema

get_input_schema
Read-onlyIdempotent

Retrieve the complete JSON Schema for any supported ISO 20022 payment message type, showing all fields, types, and constraints to guide record assembly or form generation.

Instructions

Return the full JSON Schema for a message type's flat input record.

Use this to learn every field, its type, and its constraints before
assembling records, or to drive a form/UI. For just the required-field
names use ``get_required_fields``; to actually check records against
this schema use ``validate_records``.

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.008.001.02' (see list_message_types).
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description adds little beyond stating the return value; no depth on side effects or operational constraints.

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 concise sentences with a front-loaded purpose. No extraneous information. The Args section is appropriately placed and brief.

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 read-only tool with one parameter and no output schema, the description fully covers purpose, usage, and alternatives. No missing context.

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 description coverage is 100%. The description repeats the parameter's purpose but adds no new meaning beyond what the schema already provides.

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 'Return the full JSON Schema for a message type's flat input record.' It uses a specific verb and resource, and distinguishes from siblings by mentioning alternative tools for required fields or validation.

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 when to use: 'to learn every field... before assembling records, or to drive a form/UI.' Also provides exclusions: 'For just the required-field names use get_required_fields; to actually check records against this schema use validate_records.'

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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